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DESIGN.md CHANGED
@@ -1,6 +1,18 @@
1
  # SafeSpace Design Document
2
 
3
- This document explains the design decisions behind SafeSpace, a content moderation RL environment. It serves as both an internal reference and a public explanation of the benchmarks design choices.
 
 
 
 
 
 
 
 
 
 
 
 
4
 
5
  ---
6
 
@@ -100,11 +112,10 @@ We model three concrete moderation workflows rather than three abstract buckets:
100
 
101
  We separate the environment into two evaluation layers:
102
 
103
- - **Canonical benchmark:** 60 curated scenarios, 20 per task, defined in `server/data/benchmark_manifest.json`
104
- - **Full corpus:** 367 total scenarios used for broader regression testing and stress coverage
105
 
106
  The canonical benchmark is the headline score we report in the README and baseline script. The full corpus still matters, but we do not treat metadata-only procedural variants as benchmark depth.
107
- Manifest version `2026-04-03.2` also rebalances the hard split away from a remove-heavy concentration by adding one escalation case, one approve satire case, and one warn coded-hate case from the existing corpus.
108
 
109
  ### Decision Distribution (Hard Tier)
110
 
@@ -144,7 +155,7 @@ This is low enough to discourage always-escalate strategies while still rewardin
144
 
145
  ### Repeat Offender Scenarios
146
 
147
- 17 hard scenarios feature "borderline content + repeat offender history = remove". This tests whether agents can integrate author history with surface content analysis, not just pattern-match on text.
148
 
149
  ### Calibration Mechanics
150
 
@@ -236,30 +247,7 @@ We evaluate agents on:
236
 
237
  ### Reference Runs
238
 
239
- Primary reference artifact:
240
-
241
- `artifacts/baselines/canonical_gpt-5.4_azure_seed7_manifest_2026-04-03.2.json`
242
-
243
- This run uses `gpt-5.4` through an OpenAI-compatible Azure AI Foundry endpoint with `OPENAI_SEED=7` on manifest version `2026-04-03.2`.
244
-
245
- | Tier | Avg Task Grade | Avg Reward | Avg Raw Reward |
246
- |------|----------------|------------|----------------|
247
- | Easy | 0.8244 | 0.7760 | 0.7200 |
248
- | Medium | 0.4934 | 0.4914 | 0.3643 |
249
- | Hard | 0.4213 | 0.4695 | 0.3369 |
250
-
251
- Secondary open-weight comparison artifact:
252
-
253
- `artifacts/baselines/canonical_qwen2.5_72b_hf_seed7_manifest_2026-04-03.2.json`
254
-
255
- This comparison run uses `Qwen/Qwen2.5-72B-Instruct` via the Hugging Face Router with `OPENAI_SEED=7`.
256
-
257
- | Model | Avg Task Grade | Avg Reward | Avg Raw Reward |
258
- |-------|----------------|------------|----------------|
259
- | `gpt-5.4` | 0.5797 | 0.5790 | 0.4737 |
260
- | `Qwen/Qwen2.5-72B-Instruct` | 0.4775 | 0.5098 | 0.3873 |
261
-
262
- These numbers are reference points, not normative targets. The benchmark remains intentionally challenging on context-dependent and hard policy-review cases, and score movement should be interpreted relative to the same manifest and inference setup.
263
 
264
  ---
265
 
@@ -296,3 +284,50 @@ SafeSpace is designed around these principles:
296
  5. **Principled defaults**: Episode budget, trajectory caps, score ranges all have explicit rationale
297
 
298
  The goal is an environment that teaches real moderation skills, not pattern matching or hedging strategies.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  # SafeSpace Design Document
2
 
3
+ This document explains the design decisions behind SafeSpace, a content moderation RL environment. It serves as both an internal reference and a public explanation of the benchmark's design choices.
4
+
5
+ For setup instructions, action and observation spaces, and usage examples, see `README.md`. This document is focused on benchmark rationale: why the environment is structured this way, how reward and grading were chosen, and what design tradeoffs shape the evaluation.
6
+
7
+ ## Executive Summary
8
+
9
+ SafeSpace is built around five core design choices:
10
+
11
+ 1. **Moderation is treated as a sequential decision problem, not a one-shot classifier.** Agents must decide when context is necessary and when acting immediately is better.
12
+ 2. **Reward and evaluation are aligned.** Training reward and benchmark grading preserve the same ordering of outcomes so agents are not incentivized to exploit mismatched objectives.
13
+ 3. **The benchmark is designed to resist easy gaming.** Adjacent decisions receive limited credit, calibration matters, and scenario distributions are balanced enough to discourage trivial hedging strategies.
14
+ 4. **Deterministic grading is a feature, not a limitation.** SafeSpace avoids LLM judges in order to maximize reproducibility, auditability, and low-cost evaluation.
15
+ 5. **The environment emphasizes realistic moderation ambiguity within a constrained scope.** Context dependence, policy exceptions, repeat-offender logic, and escalation are in scope; multimodal reasoning and multi-agent workflows are intentionally out of scope for now.
16
 
17
  ---
18
 
 
112
 
113
  We separate the environment into two evaluation layers:
114
 
115
+ - **Canonical benchmark:** 60 authored submission scenarios, 20 per task, defined in `server/data/benchmark_manifest.json`
116
+ - **Full corpus:** 367 total scenarios used for broader regression testing and stress coverage, including non-canonical procedural variants
117
 
118
  The canonical benchmark is the headline score we report in the README and baseline script. The full corpus still matters, but we do not treat metadata-only procedural variants as benchmark depth.
 
119
 
120
  ### Decision Distribution (Hard Tier)
121
 
 
155
 
156
  ### Repeat Offender Scenarios
157
 
158
+ A substantial subset of hard scenarios feature borderline content where repeat-offender history pushes the correct outcome toward `remove`. This tests whether agents can integrate author history with surface content analysis, not just pattern-match on text.
159
 
160
  ### Calibration Mechanics
161
 
 
247
 
248
  ### Reference Runs
249
 
250
+ Reference runs are useful calibration points, but they are not the benchmark's core design rationale. Exact baseline numbers are best interpreted relative to a specific manifest version, model endpoint, and inference configuration, so the current benchmark snapshot is included in the appendix below rather than treated as a permanent part of the design argument.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
251
 
252
  ---
253
 
 
284
  5. **Principled defaults**: Episode budget, trajectory caps, score ranges all have explicit rationale
285
 
286
  The goal is an environment that teaches real moderation skills, not pattern matching or hedging strategies.
287
+
288
+ ---
289
+
290
+ ## Appendix: Current Benchmark Snapshot
291
+
292
+ This appendix captures the current shipped benchmark snapshot. It is intentionally separated from the main design rationale because these details may change over time as the corpus, manifest, or reference runs evolve.
293
+
294
+ ### Current Manifest Snapshot
295
+
296
+ - Canonical benchmark: 60 authored submission scenarios, 20 per task
297
+ - Full corpus: 367 total scenarios, including broader regression/stress coverage outside the canonical benchmark
298
+ - Current manifest version: `2026-04-03.2`
299
+
300
+ This manifest rebalances the hard split away from an overly remove-heavy concentration while preserving the same task framing and grading philosophy described above.
301
+
302
+ ### Current Reference Runs
303
+
304
+ Primary reference artifact:
305
+
306
+ `artifacts/baselines/canonical_gpt-5.4_azure_seed7_manifest_2026-04-03.2.json`
307
+
308
+ This canonical reference run uses `gpt-5.4` through an OpenAI-compatible Azure AI Foundry endpoint with `OPENAI_SEED=7`.
309
+
310
+ | Tier | Avg Task Grade | Avg Reward | Avg Raw Reward |
311
+ |------|----------------|------------|----------------|
312
+ | Easy | 0.8327 | 0.7845 | 0.7306 |
313
+ | Medium | 0.4625 | 0.4748 | 0.3435 |
314
+ | Hard | 0.5110 | 0.5382 | 0.4228 |
315
+
316
+ Overall canonical averages:
317
+
318
+ - Avg task grade: `0.6021`
319
+ - Avg reward: `0.5992`
320
+ - Avg raw reward: `0.4990`
321
+
322
+ Secondary open-weight comparison artifact:
323
+
324
+ - `artifacts/baselines/canonical_qwen2.5_72b_hf_seed7_manifest_2026-04-03.2.json`
325
+
326
+ This comparison run uses `Qwen/Qwen2.5-72B-Instruct` via the Hugging Face Router with `OPENAI_SEED=7`.
327
+
328
+ | Model | Avg Task Grade | Avg Reward | Avg Raw Reward |
329
+ |-------|----------------|------------|----------------|
330
+ | `gpt-5.4` | 0.6021 | 0.5992 | 0.4990 |
331
+ | `Qwen/Qwen2.5-72B-Instruct` | 0.4810 | 0.4994 | 0.3742 |
332
+
333
+ These numbers are reference points, not normative targets. The benchmark remains intentionally challenging on context-dependent and hard policy-review cases, and score movement should be interpreted relative to the same manifest and inference setup.
README.md CHANGED
@@ -16,25 +16,59 @@ tags:
16
 
17
  # SafeSpace: Content Moderation OpenEnv
18
 
19
- SafeSpace is an OpenEnv benchmark for multi-step social platform content moderation. Instead of one-shot classification, the agent reviews a reported post, decides whether to gather more evidence under a fixed action budget, and submits a structured moderation decision with calibrated confidence and cited factors.
20
 
21
- ![OpenEnv 0.2.3](https://img.shields.io/badge/OpenEnv-0.2.3-0B5FFF?style=flat-square)
22
  ![FastAPI](https://img.shields.io/badge/FastAPI-009688?style=flat-square)
23
  ![Docker Ready](https://img.shields.io/badge/Docker-Ready-2563EB?style=flat-square)
24
  ![HF Space](https://img.shields.io/badge/Hugging%20Face-Space-FFD21E?style=flat-square)
25
- ![OpenAI Client](https://img.shields.io/badge/OpenAI-Client-10A37F?style=flat-square)
26
  ![License BSD-3-Clause](https://img.shields.io/badge/License-BSD--3--Clause-111827?style=flat-square)
27
 
28
- ## At a Glance
29
 
30
- - **Real-world task:** sequential content moderation with context gathering, escalation, and calibration
31
- - **Interface:** typed OpenEnv `step()` / `reset()` / `state()` API backed by FastAPI and a typed client
32
- - **Benchmark:** 3 graded workflows, a 60-scenario canonical split, and a 367-scenario full corpus
33
- - **Scoring:** trajectory shaping plus deterministic terminal grading, with no LLM judge in the loop
34
 
35
- ## Quick Start
 
 
 
 
 
 
 
 
 
 
36
 
37
- ### 1. Install
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
38
 
39
  Preferred:
40
 
@@ -48,7 +82,9 @@ Alternative:
48
  pip install -e ".[dev]"
49
  ```
50
 
51
- ### 2. Run the full local preflight
 
 
52
 
53
  ```bash
54
  scripts/preflight.sh
@@ -85,93 +121,60 @@ with SafeSpaceEnv(base_url="http://localhost:8000").sync() as env:
85
  print(result.observation.task_grade)
86
  ```
87
 
88
- ### 5. Validate the evaluator contract
89
-
90
- ```bash
91
- python inference.py --validate-config
92
- ```
93
-
94
- ## Episode Flow
95
-
96
- ![SafeSpace episode flow](artifacts/readme/episode-flow.svg)
97
-
98
- ### Example Walkthrough: `med_001`
99
-
100
- `med_001` looks like a violent threat on the surface:
101
-
102
- > "I swear I'm going to kill you next round bro, you're dead meat"
103
 
104
- The correct policy is not obvious from the text alone, so the optimal agent:
105
 
106
- 1. calls `reset(scenario_id="med_001")` and receives the reported post with no gathered context yet
107
- 2. requests `request_thread_context`
108
- 3. sees friendly gaming banter in the thread
109
- 4. submits:
110
 
111
- ```python
112
- ModerationAction(
113
- action_type="decide",
114
- decision="approve",
115
- primary_violation="none",
116
- severity="none",
117
- confidence=0.82,
118
- key_factors=["gaming_or_competition_context", "no_violation_found"],
119
- )
120
  ```
121
 
122
- 5. receives both a terminal reward breakdown and a normalized task grade
123
-
124
- This is the core SafeSpace idea: the agent is rewarded not just for the final answer, but also for deciding *when* to investigate and *what* to investigate.
125
-
126
- ## Why This Is an RL Environment, Not a Classifier
127
-
128
- A one-shot classifier sees only the post and predicts a label. Real moderation work is sequential:
129
-
130
- - moderators inspect the post
131
- - they choose which context to fetch
132
- - each fetch has a cost
133
- - they stop when they have enough evidence
134
- - they make a decision with a level of certainty
135
-
136
- SafeSpace turns that workflow into an RL problem. Investigation actions produce trajectory-level reward, bad investigation habits are penalized, and the terminal reward measures moderation quality, calibration, and efficiency together.
137
-
138
- SafeSpace is designed around the parts of moderation that are hard for static classifiers:
139
-
140
- - deciding when the surface text is enough
141
- - deciding when context changes the answer
142
- - handling asymmetric costs for false negatives vs. over-moderation
143
- - learning when escalation is better than bluffing
144
 
145
- ## Environment Description
 
 
 
 
 
 
146
 
147
- SafeSpace models moderation as a budgeted episode over one reported content item. The environment is designed to test whether an agent can combine policy understanding with evidence gathering instead of relying on surface-text pattern matching alone.
148
 
149
- - **Domain:** social media content moderation
150
- - **Runtime:** FastAPI / OpenEnv server
151
- - **Stateful evaluation path:** typed `SafeSpaceEnv` WebSocket client
152
- - **Public docs path:** typed `/schema` and `/state` endpoints
153
- - **Decision surface:** `approve`, `remove`, `warn`, `escalate`
154
- - **Difficulty progression:** easy, medium, hard
155
 
156
- ## Tasks
157
 
158
- | Task | Difficulty | Scenarios | What makes it hard |
159
- |------|------------|-----------|--------------------|
160
- | `clear_violations` | easy | 117 | Text alone is usually enough; over-investigation wastes reward |
161
- | `context_dependent` | medium | 140 | One targeted context request often flips the correct answer |
162
- | `policy_edge_cases` | hard | 110 | Multiple signals conflict; escalation, calibration, and precedent matter |
163
 
164
- ### Workflow 1: Direct Triage (`clear_violations`)
165
 
166
- Obvious spam, explicit threats, doxxing, clear hate speech, and obvious false positives. The optimal policy usually decides immediately.
 
 
167
 
168
- ### Workflow 2: Context-Dependent Investigation (`context_dependent`)
169
 
170
- Cases where one missing fact changes the right answer: gaming banter, appeal review, brigading victims, repeat offenders, or harmful links hidden behind harmless post text.
 
 
171
 
172
- ### Workflow 3: Policy / Escalation Review (`policy_edge_cases`)
173
 
174
- Ambiguous cases where the agent must combine multiple evidence sources: satire vs. misinformation, coded harassment, cross-cultural language, public-figure privacy edge cases, and quoted harmful claims used for correction or education.
 
 
 
175
 
176
  ## Action Space
177
 
@@ -187,7 +190,7 @@ Each investigation action consumes one step from the episode budget.
187
  | `request_similar_precedents` | prior moderation examples | policy conflict and edge-case consistency |
188
  | `request_reporter_credibility` | reporter accuracy history | brigading or unreliable reporting |
189
 
190
- ### Terminal action
191
 
192
  ```python
193
  ModerationAction(
@@ -231,8 +234,8 @@ print(obs.gathered_context.thread_context) # None until requested
231
 
232
  - `episode_id`
233
  - `step_count`
234
- - `task_id` (canonical benchmark task bucket)
235
- - `scenario_id` (exact sampled scenario)
236
  - `difficulty`
237
  - `trigger_type`
238
  - `actions_taken`
@@ -240,18 +243,33 @@ print(obs.gathered_context.thread_context) # None until requested
240
  - `context_requested`
241
  - `decision_made`
242
  - `episode_reward`
 
 
 
 
 
 
 
 
 
243
 
244
- The public HTTP `/schema` and `/state` endpoints expose the typed `ModerationState` contract directly. The session-backed `SafeSpaceEnv` client remains the canonical benchmark path for live per-episode state during evaluation.
 
 
245
 
246
- ## Reward and Grading
 
 
 
 
247
 
248
- SafeSpace provides reward signal over the full trajectory.
249
 
250
- The environment optimizes moderation quality first, then explanation quality, efficiency, and calibration.
251
 
252
- ### Trajectory shaping
253
 
254
- Investigation steps receive immediate feedback:
255
 
256
  | Event | Raw reward |
257
  |-------|------------|
@@ -261,144 +279,93 @@ Investigation steps receive immediate feedback:
261
  | invalid action | `-0.06` |
262
  | budget exhausted before decision | `-0.15` |
263
 
264
- The cumulative trajectory signal is capped at `+/-0.15`, which lets 3-context hard cases benefit from all useful investigation steps without dominating the terminal reward.
265
 
266
- ### Terminal reward
267
-
268
- When the agent takes `decide`, the final reward combines:
269
 
270
  - decision reward
271
  - factor overlap reward
272
  - efficiency bonus
273
  - calibration bonus
274
 
275
- The decision grader is deterministic and checks:
276
-
277
- - decision correctness
278
- - policy violation correctness
279
- - severity correctness
280
- - adjacent-decision partial credit
281
- - dangerous false negatives
282
 
283
- Factor reward uses Jaccard similarity between the predicted factor set and the ground-truth factor set.
284
 
285
- ### Deterministic graders
286
 
287
- All tasks are graded programmatically. There are no LLM judges inside the environment.
 
 
288
 
289
- - `grade_decision()` scores the moderation action against ground truth
290
- - `grade_factors()` scores cited rationale factors
291
- - `compute_reward()` combines terminal moderation quality
292
- - trajectory reward helpers score investigation behavior step by step
293
 
294
- Public reward values are normalized into `[0.0, 1.0]` for compatibility with tooling that expects normalized reward signals. Raw signed reward values are preserved through `raw_*` fields for RL analysis and debugging.
295
-
296
- ## Benchmark Splits and Scenario Stats
297
 
298
  Canonical benchmark:
299
 
300
  - Manifest version: `2026-04-03.2`
301
- - Canonical split size: 60 scenarios total
302
- - Canonical composition: 20 scenarios per benchmark task
303
  - Canonical benchmark is the headline evaluation set used by `inference.py --mode canonical`
304
 
305
  Full corpus:
306
 
307
- - Total scenarios: 367
308
- - Easy: 117
309
- - Medium: 140
310
- - Hard: 110
 
311
 
312
  Decision distribution:
313
 
314
- - Approve: 139
315
- - Remove: 133
316
- - Warn: 54
317
- - Escalate: 41
318
 
319
  Trigger distribution:
320
 
321
- - `user_report`: 210
322
- - `auto_flag`: 109
323
- - `appeal`: 27
324
- - `proactive_audit`: 21
325
 
326
  Context-depth distribution:
327
 
328
- - `0` context requests needed: 117
329
- - `1` context request needed: 123
330
- - `2` context requests needed: 108
331
- - `3` context requests needed: 19
332
-
333
- The full corpus includes targeted link, policy-conflict, satire, privacy, and coded-harassment edge cases, while the 60-scenario canonical split remains the headline benchmark for fast and stable comparison.
334
 
335
- ## Reference Evaluation
336
 
337
- `inference.py` is the reference evaluator shipped with the project.
 
338
 
339
- It:
340
 
341
  - uses the OpenAI client for all model calls
342
  - works with any OpenAI-compatible endpoint exposed through `API_BASE_URL`
343
  - prefers `HF_TOKEN` and still accepts `OPENAI_API_KEY`, `API_KEY`, or `AZURE_OPENAI_API_KEY` as fallbacks
344
- - evaluates through the real `SafeSpaceEnv` client/server path
345
  - validates the benchmark manifest before running
346
- - supports deterministic `canonical` and `full` modes
347
  - emits compact `[START]`, `[STEP]`, and `[END]` logs on stdout
348
- - writes aggregate metrics only when `--summary-json-path` is provided
349
-
350
- ### Required environment variables
351
-
352
- ```bash
353
- export API_BASE_URL="<OpenAI-compatible endpoint>"
354
- export MODEL_NAME="<model-id>"
355
- export HF_TOKEN="<api-key>"
356
- ```
357
-
358
- Accepted credential fallbacks:
359
-
360
- ```bash
361
- export OPENAI_API_KEY="<api-key>"
362
- # or
363
- export API_KEY="<api-key>"
364
- # or
365
- export AZURE_OPENAI_API_KEY="<api-key>"
366
- ```
367
 
368
- Additional optional variables:
369
-
370
- ```bash
371
- export OPENAI_SEED="7"
372
- export ENV_BASE_URL="http://localhost:8000"
373
- export LOCAL_IMAGE_NAME="safespace:latest"
374
- ```
375
-
376
- Connection precedence:
377
-
378
- - if `--env-base-url` is passed, use that server
379
- - else if `ENV_BASE_URL` is set, use that server
380
- - else if `LOCAL_IMAGE_NAME` is set, launch the local Docker image through OpenEnv
381
- - else fall back to `http://localhost:8000`
382
-
383
- ### Run the canonical reference baseline
384
-
385
- ```bash
386
- python inference.py --mode canonical --summary-json-path artifacts/run-summary.json
387
- ```
388
 
389
- ### Validate config and benchmark assets before running
 
 
390
 
391
- ```bash
392
- python inference.py --validate-config
393
- ```
394
 
395
- ### Run the full dataset evaluation
 
 
396
 
397
- ```bash
398
- python inference.py --mode full --summary-json-path artifacts/run-summary.json
399
- ```
400
-
401
- The script emits stdout in the following single-line format:
402
 
403
  ```text
404
  [START] task=<task_name> env=safespace model=<model_name>
@@ -406,56 +373,42 @@ The script emits stdout in the following single-line format:
406
  [END] success=<true|false> steps=<n> score=<score> rewards=<r1,r2,...,rn>
407
  ```
408
 
409
- When `--summary-json-path` is set, the file records aggregate metrics, per-task breakdowns, decision distributions, runtime metadata, and failure details.
410
-
411
- ### Public score semantics
412
-
413
- - Final episode `score` in the `[END]` line is always `task_grade`, which already lives in `[0.0, 1.0]`.
414
- - Public `reward` values are normalized into `[0.0, 1.0]` for compatibility with tooling that expects normalized reward signals.
415
- - Raw signed reward values are preserved in the JSON summary, state, and reward breakdown payloads for debugging and RL analysis.
416
-
417
- ### Canonical vs. full evaluation
418
-
419
- - `canonical` evaluates a fixed 60-scenario benchmark defined in `server/data/benchmark_manifest.json`.
420
- - `canonical` is the score we treat as the headline benchmark because it is fast, comparable across reruns, and stable in task composition.
421
- - `full` evaluates the entire current corpus of 367 scenarios.
422
- - `full` is intended as a broader stress test and regression suite; it is slower and more expensive, but gives a better picture of full-corpus generalization.
423
- - `full` runs the canonical split first and then the remainder of the corpus, so `--limit-per-task` is useful for cheap smoke checks.
424
-
425
- ### Current reference baselines
426
-
427
  Primary reference artifact:
428
 
429
  `artifacts/baselines/canonical_gpt-5.4_azure_seed7_manifest_2026-04-03.2.json`
430
 
431
- This is the main headline reference run. It uses `gpt-5.4` through an OpenAI-compatible Azure AI Foundry endpoint with `OPENAI_SEED=7` on benchmark manifest version `2026-04-03.2`.
432
 
433
  | Task | Difficulty | Avg Task Grade | Avg Reward | Avg Raw Reward | Decision Distribution |
434
  |------|------------|----------------|------------|----------------|----------------------|
435
- | `clear_violations` | easy | **0.8244** | `0.7760` | `0.7200` | remove: 10, approve: 10 |
436
- | `context_dependent` | medium | **0.4934** | `0.4914` | `0.3643` | approve: 11, warn: 5, remove: 4 |
437
- | `policy_edge_cases` | hard | **0.4213** | `0.4695` | `0.3369` | approve: 8, escalate: 5, warn: 4, remove: 3 |
438
 
439
- **Overall average task grade: `0.5797`**
440
 
441
- **Overall average reward: `0.5790`**
 
 
 
442
 
443
- **Overall average raw reward: `0.4737`**
444
 
445
- Secondary open-weight reference artifact:
446
 
447
- `artifacts/baselines/canonical_qwen2.5_72b_hf_seed7_manifest_2026-04-03.2.json`
448
-
449
- This comparison run uses `Qwen/Qwen2.5-72B-Instruct` via the Hugging Face Router with `HF_TOKEN` and `OPENAI_SEED=7`.
450
 
451
  | Model | Avg Task Grade | Avg Reward | Avg Raw Reward | Failed Episodes |
452
  |-------|----------------|------------|----------------|-----------------|
453
- | `gpt-5.4` | **0.5797** | `0.5790` | `0.4737` | `0` |
454
- | `Qwen/Qwen2.5-72B-Instruct` | `0.4775` | `0.5098` | `0.3873` | `0` |
 
 
455
 
456
- ## Validation and Deployment
 
457
 
458
- Run the full verification stack from the repository root containing `openenv.yaml`, `inference.py`, and `Dockerfile`:
459
 
460
  ```bash
461
  scripts/preflight.sh
@@ -488,13 +441,16 @@ openenv push --repo-id <username>/safespace
488
  Submission-path hardening notes:
489
 
490
  - the Docker build, health check, and typed-client smoke path are covered by `scripts/preflight.sh`
491
- - the package asset smoke test now self-heals `pip` with `ensurepip` if the active interpreter does not expose `python -m pip`
492
  - the canonical evaluation path has been verified under a `2 CPU / 8 GB` container budget and completed well under the hackathon's `20` minute runtime limit
493
 
494
- ## Project Layout
 
 
 
495
 
496
  ```text
497
- content_moderation_env/
498
  ├── artifacts/
499
  │ ├── baselines/
500
  │ └── readme/
@@ -507,6 +463,7 @@ content_moderation_env/
507
  ├── README.md
508
  ├── scripts/
509
  │ ├── check_package_assets.py
 
510
  │ ├── preflight.sh
511
  │ ├── report_stats.py
512
  │ └── validate-submission.sh
@@ -521,6 +478,8 @@ content_moderation_env/
521
  └── tests/
522
  ```
523
 
 
 
524
  ## License
525
 
526
  This project is licensed under the BSD 3-Clause License. See `LICENSE`.
 
16
 
17
  # SafeSpace: Content Moderation OpenEnv
18
 
19
+ SafeSpace is an OpenEnv benchmark for sequential social-platform content moderation. Instead of making a one-shot label prediction, the agent reviews one reported post at a time, decides whether to gather more evidence under a fixed action budget, and then submits a structured moderation decision with calibrated confidence and cited factors.
20
 
21
+ ![SafeSpace 0.2.1](https://img.shields.io/badge/SafeSpace-0.2.1-0B5FFF?style=flat-square)
22
  ![FastAPI](https://img.shields.io/badge/FastAPI-009688?style=flat-square)
23
  ![Docker Ready](https://img.shields.io/badge/Docker-Ready-2563EB?style=flat-square)
24
  ![HF Space](https://img.shields.io/badge/Hugging%20Face-Space-FFD21E?style=flat-square)
 
25
  ![License BSD-3-Clause](https://img.shields.io/badge/License-BSD--3--Clause-111827?style=flat-square)
26
 
27
+ Quick links: [HF Space](https://huggingface.co/spaces/Ishangtxl/SafeSpace) · [Run locally](#run-the-environment-locally) · [Run the reference evaluator](#run-the-reference-evaluator) · [Action Space](#action-space) · [Observation Space](#observation-space) · [Example Episode](#example-episode) · [Appendix](#appendix)
28
 
29
+ ## Environment Contract
 
 
 
30
 
31
+ | Item | SafeSpace contract |
32
+ |------|--------------------|
33
+ | Episode unit | One reported content item |
34
+ | Budget | `8` total actions per episode |
35
+ | Action space | `7` investigation actions + `1` terminal `decide` action |
36
+ | Final decisions | `approve`, `remove`, `warn`, `escalate` |
37
+ | Observation | Post content, trigger info, gathered context, platform policy, citable factors, progress fields |
38
+ | Reward | Trajectory shaping during investigation + deterministic terminal grading |
39
+ | Difficulty tiers | `easy`, `medium`, `hard` |
40
+ | Canonical benchmark | `60` scenarios total, `20` per task |
41
+ | Full corpus | `367` scenarios of broader authored + procedural regression coverage |
42
 
43
+ ## Environment Description
44
+
45
+ SafeSpace models moderation as a budgeted evidence-gathering episode over one reported post. The benchmark is designed to test whether an agent can decide when the post alone is enough, when context changes the answer, and when escalation is more appropriate than overconfident guessing.
46
+
47
+ The benchmark contains three task families:
48
+
49
+ | Task | Difficulty | Scenarios | What makes it hard |
50
+ |------|------------|-----------|--------------------|
51
+ | `clear_violations` | easy | 117 | Text alone is sufficient; extra investigation wastes reward |
52
+ | `context_dependent` | medium | 140 | One targeted context request often flips the correct decision |
53
+ | `policy_edge_cases` | hard | 110 | Multiple signals conflict; calibration, precedent, and escalation matter |
54
+
55
+ ## Connect To The Deployed Space
56
+
57
+ Space page: [Ishangtxl/SafeSpace](https://huggingface.co/spaces/Ishangtxl/SafeSpace)
58
+
59
+ Programmatic endpoint:
60
+
61
+ ```python
62
+ from content_moderation_env import SafeSpaceEnv
63
+
64
+ with SafeSpaceEnv(base_url="https://ishangtxl-safespace.hf.space").sync() as env:
65
+ result = env.reset()
66
+ print(result.observation.content_item.text)
67
+ ```
68
+
69
+ ## Run The Environment Locally
70
+
71
+ ### 1. Install dependencies
72
 
73
  Preferred:
74
 
 
82
  pip install -e ".[dev]"
83
  ```
84
 
85
+ SafeSpace depends on `openenv-core[core]>=0.2.3,<0.3`.
86
+
87
+ ### 2. Run the local preflight
88
 
89
  ```bash
90
  scripts/preflight.sh
 
121
  print(result.observation.task_grade)
122
  ```
123
 
124
+ ## Run The Reference Evaluator
 
 
 
 
 
 
 
 
 
 
 
 
 
 
125
 
126
+ `inference.py` is the shipped reference evaluator. It uses the real `SafeSpaceEnv` client/server path and supports deterministic `canonical` and `full` evaluation modes.
127
 
128
+ ### Required environment variables
 
 
 
129
 
130
+ ```bash
131
+ export API_BASE_URL="<OpenAI-compatible endpoint>"
132
+ export MODEL_NAME="<model-id>"
133
+ export HF_TOKEN="<api-key>"
 
 
 
 
 
134
  ```
135
 
136
+ Accepted credential fallbacks:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
137
 
138
+ ```bash
139
+ export OPENAI_API_KEY="<api-key>"
140
+ # or
141
+ export API_KEY="<api-key>"
142
+ # or
143
+ export AZURE_OPENAI_API_KEY="<api-key>"
144
+ ```
145
 
146
+ Additional optional variables:
147
 
148
+ ```bash
149
+ export OPENAI_SEED="7"
150
+ export ENV_BASE_URL="http://localhost:8000"
151
+ export LOCAL_IMAGE_NAME="safespace:latest"
152
+ ```
 
153
 
154
+ ### Validate evaluator config
155
 
156
+ ```bash
157
+ python inference.py --validate-config
158
+ ```
 
 
159
 
160
+ ### Run the canonical benchmark
161
 
162
+ ```bash
163
+ python inference.py --mode canonical --summary-json-path artifacts/run-summary.json
164
+ ```
165
 
166
+ ### Run the full corpus evaluation
167
 
168
+ ```bash
169
+ python inference.py --mode full --summary-json-path artifacts/run-summary.json
170
+ ```
171
 
172
+ Connection precedence:
173
 
174
+ - if `--env-base-url` is passed, use that server
175
+ - else if `ENV_BASE_URL` is set, use that server
176
+ - else if `LOCAL_IMAGE_NAME` is set, launch the local Docker image through OpenEnv
177
+ - else fall back to `http://localhost:8000`
178
 
179
  ## Action Space
180
 
 
190
  | `request_similar_precedents` | prior moderation examples | policy conflict and edge-case consistency |
191
  | `request_reporter_credibility` | reporter accuracy history | brigading or unreliable reporting |
192
 
193
+ Terminal action:
194
 
195
  ```python
196
  ModerationAction(
 
234
 
235
  - `episode_id`
236
  - `step_count`
237
+ - `task_id`
238
+ - `scenario_id`
239
  - `difficulty`
240
  - `trigger_type`
241
  - `actions_taken`
 
243
  - `context_requested`
244
  - `decision_made`
245
  - `episode_reward`
246
+ - `raw_episode_reward`
247
+ - `done`
248
+ - `last_error_code`
249
+
250
+ The public HTTP `/schema` and `/state` endpoints expose the typed `ModerationState` contract directly. The session-backed `SafeSpaceEnv` client remains the canonical benchmark path for live per-episode evaluation.
251
+
252
+ ## Example Episode
253
+
254
+ `med_001` looks like a violent threat on the surface:
255
 
256
+ > "I swear I'm going to kill you next round bro, you're dead meat"
257
+
258
+ The correct policy is not obvious from the text alone, so a strong agent typically:
259
 
260
+ 1. calls `reset(scenario_id="med_001")`
261
+ 2. requests `request_thread_context`
262
+ 3. sees friendly gaming banter in the thread
263
+ 4. submits an `approve` decision with `primary_violation="none"` and factors such as `gaming_or_competition_context`
264
+ 5. receives both a terminal reward breakdown and a normalized task grade
265
 
266
+ This is the core SafeSpace idea: the agent is rewarded not just for the final answer, but also for deciding when to investigate and what to investigate.
267
 
268
+ ## Reward And Grading
269
 
270
+ SafeSpace optimizes moderation quality first, then explanation quality, efficiency, and calibration.
271
 
272
+ Trajectory shaping:
273
 
274
  | Event | Raw reward |
275
  |-------|------------|
 
279
  | invalid action | `-0.06` |
280
  | budget exhausted before decision | `-0.15` |
281
 
282
+ The cumulative trajectory signal is capped at `+/-0.15`.
283
 
284
+ Terminal reward combines:
 
 
285
 
286
  - decision reward
287
  - factor overlap reward
288
  - efficiency bonus
289
  - calibration bonus
290
 
291
+ All grading is deterministic and programmatic. There are no LLM judges inside the environment.
 
 
 
 
 
 
292
 
293
+ ## Research Grounding
294
 
295
+ SafeSpace is informed by prior content-moderation and explainability research, including HateXplain, especially around rationale-grounded moderation decisions, ambiguity, and explanation quality. We do not claim direct reuse of HateXplain samples in the current shipped scenario corpus.
296
 
297
+ - [OpenEnv documentation](https://meta-pytorch.org/OpenEnv/) and the [OpenEnv Quick Start](https://meta-pytorch.org/OpenEnv/auto_getting_started/) describe the environment interface conventions that SafeSpace follows.
298
+ - [HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection](https://arxiv.org/abs/2012.10289) motivates rationale-aware moderation evaluation and explainability-oriented supervision.
299
+ - [Content moderation on social media: Does it matter who and why moderates hate speech?](https://scholars.cityu.edu.hk/en/publications/content-moderation-on-social-media-does-it-matter-who-and-why-mod/) is relevant to moderation transparency, trust, and explanation framing.
300
 
301
+ ## Appendix
 
 
 
302
 
303
+ <details>
304
+ <summary><strong>Benchmark splits and corpus statistics</strong></summary>
 
305
 
306
  Canonical benchmark:
307
 
308
  - Manifest version: `2026-04-03.2`
309
+ - Canonical split size: `60` scenarios total
310
+ - Canonical composition: `20` scenarios per benchmark task
311
  - Canonical benchmark is the headline evaluation set used by `inference.py --mode canonical`
312
 
313
  Full corpus:
314
 
315
+ - Total scenarios: `367`
316
+ - Easy: `117`
317
+ - Medium: `140`
318
+ - Hard: `110`
319
+ - Includes broader authored extensions plus procedural stress/regression coverage outside the official canonical benchmark
320
 
321
  Decision distribution:
322
 
323
+ - Approve: `139`
324
+ - Remove: `133`
325
+ - Warn: `54`
326
+ - Escalate: `41`
327
 
328
  Trigger distribution:
329
 
330
+ - `user_report`: `210`
331
+ - `auto_flag`: `109`
332
+ - `appeal`: `27`
333
+ - `proactive_audit`: `21`
334
 
335
  Context-depth distribution:
336
 
337
+ - `0` context requests needed: `117`
338
+ - `1` context request needed: `123`
339
+ - `2` context requests needed: `108`
340
+ - `3` context requests needed: `19`
 
 
341
 
342
+ </details>
343
 
344
+ <details>
345
+ <summary><strong>Reference evaluation details and baseline results</strong></summary>
346
 
347
+ `inference.py`:
348
 
349
  - uses the OpenAI client for all model calls
350
  - works with any OpenAI-compatible endpoint exposed through `API_BASE_URL`
351
  - prefers `HF_TOKEN` and still accepts `OPENAI_API_KEY`, `API_KEY`, or `AZURE_OPENAI_API_KEY` as fallbacks
 
352
  - validates the benchmark manifest before running
 
353
  - emits compact `[START]`, `[STEP]`, and `[END]` logs on stdout
354
+ - writes aggregate metrics when `--summary-json-path` is provided
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
355
 
356
+ Public score semantics:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
357
 
358
+ - Final episode `score` in the `[END]` line is always `task_grade`, which lives in `[0.0, 1.0]`
359
+ - Public `reward` values are normalized into `[0.0, 1.0]`
360
+ - Raw signed reward values are preserved in the JSON summary, state, and reward breakdown payloads
361
 
362
+ Canonical vs. full:
 
 
363
 
364
+ - `canonical` evaluates the fixed 60-scenario benchmark in `server/data/benchmark_manifest.json`
365
+ - `full` evaluates the entire current corpus of 367 scenarios
366
+ - `full` runs the canonical split first and then the remainder of the corpus
367
 
368
+ The evaluator emits stdout in the following single-line format:
 
 
 
 
369
 
370
  ```text
371
  [START] task=<task_name> env=safespace model=<model_name>
 
373
  [END] success=<true|false> steps=<n> score=<score> rewards=<r1,r2,...,rn>
374
  ```
375
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
376
  Primary reference artifact:
377
 
378
  `artifacts/baselines/canonical_gpt-5.4_azure_seed7_manifest_2026-04-03.2.json`
379
 
380
+ This canonical reference run uses `gpt-5.4` through an OpenAI-compatible Azure AI Foundry endpoint with `OPENAI_SEED=7`.
381
 
382
  | Task | Difficulty | Avg Task Grade | Avg Reward | Avg Raw Reward | Decision Distribution |
383
  |------|------------|----------------|------------|----------------|----------------------|
384
+ | `clear_violations` | easy | `0.8327` | `0.7845` | `0.7306` | remove: 10, approve: 9, warn: 1 |
385
+ | `context_dependent` | medium | `0.4625` | `0.4748` | `0.3435` | approve: 10, warn: 6, remove: 4 |
386
+ | `policy_edge_cases` | hard | `0.5110` | `0.5382` | `0.4228` | escalate: 7, approve: 7, warn: 3, remove: 3 |
387
 
388
+ Overall:
389
 
390
+ - Avg task grade: `0.6021`
391
+ - Avg reward: `0.5992`
392
+ - Avg raw reward: `0.4990`
393
+ - Failed episodes: `0`
394
 
395
+ Secondary open-weight comparison artifact:
396
 
397
+ - `artifacts/baselines/canonical_qwen2.5_72b_hf_seed7_manifest_2026-04-03.2.json`
398
 
399
+ This comparison run uses `Qwen/Qwen2.5-72B-Instruct` via the Hugging Face Router with `OPENAI_SEED=7`.
 
 
400
 
401
  | Model | Avg Task Grade | Avg Reward | Avg Raw Reward | Failed Episodes |
402
  |-------|----------------|------------|----------------|-----------------|
403
+ | `gpt-5.4` | **`0.6021`** | `0.5992` | `0.4990` | `0` |
404
+ | `Qwen/Qwen2.5-72B-Instruct` | `0.4810` | `0.4994` | `0.3742` | `0` |
405
+
406
+ </details>
407
 
408
+ <details>
409
+ <summary><strong>Validation and deployment</strong></summary>
410
 
411
+ Run the full verification stack from the repository root:
412
 
413
  ```bash
414
  scripts/preflight.sh
 
441
  Submission-path hardening notes:
442
 
443
  - the Docker build, health check, and typed-client smoke path are covered by `scripts/preflight.sh`
444
+ - the package asset smoke test self-heals `pip` with `ensurepip` if the active interpreter does not expose `python -m pip`
445
  - the canonical evaluation path has been verified under a `2 CPU / 8 GB` container budget and completed well under the hackathon's `20` minute runtime limit
446
 
447
+ </details>
448
+
449
+ <details>
450
+ <summary><strong>Project layout</strong></summary>
451
 
452
  ```text
453
+ SafeSpace_Env/
454
  ├── artifacts/
455
  │ ├── baselines/
456
  │ └── readme/
 
463
  ├── README.md
464
  ├── scripts/
465
  │ ├── check_package_assets.py
466
+ │ ├── generate_scenarios.py
467
  │ ├── preflight.sh
468
  │ ├── report_stats.py
469
  │ └── validate-submission.sh
 
478
  └── tests/
479
  ```
480
 
481
+ </details>
482
+
483
  ## License
484
 
485
  This project is licensed under the BSD 3-Clause License. See `LICENSE`.
artifacts/baselines/canonical_gpt-5.4_azure_seed7_manifest_2026-04-03.2.json CHANGED
The diff for this file is too large to render. See raw diff
 
artifacts/baselines/canonical_qwen2.5_72b_hf_seed7_manifest_2026-04-03.2.json CHANGED
The diff for this file is too large to render. See raw diff
 
inference.py CHANGED
@@ -1663,7 +1663,9 @@ async def _async_main(args: argparse.Namespace) -> None:
1663
  failure_details: List[Dict[str, Any]] = []
1664
 
1665
  client = await create_env_client(args.env_base_url)
1666
- async with client:
 
 
1667
  for task_id in TASK_TO_DIFFICULTY:
1668
  scenario_ids = load_scenario_ids(task_id, args.mode)
1669
  if args.limit_per_task is not None:
@@ -1676,6 +1678,12 @@ async def _async_main(args: argparse.Namespace) -> None:
1676
  )
1677
  task_summaries[task_id] = task_summary
1678
  failure_details.extend(task_failures)
 
 
 
 
 
 
1679
 
1680
  total_scenarios = sum(
1681
  summary["num_scenarios"] for summary in task_summaries.values()
 
1663
  failure_details: List[Dict[str, Any]] = []
1664
 
1665
  client = await create_env_client(args.env_base_url)
1666
+ try:
1667
+ if hasattr(client, "connect"):
1668
+ await client.connect()
1669
  for task_id in TASK_TO_DIFFICULTY:
1670
  scenario_ids = load_scenario_ids(task_id, args.mode)
1671
  if args.limit_per_task is not None:
 
1678
  )
1679
  task_summaries[task_id] = task_summary
1680
  failure_details.extend(task_failures)
1681
+ finally:
1682
+ try:
1683
+ if hasattr(client, "close"):
1684
+ await client.close()
1685
+ except Exception:
1686
+ pass
1687
 
1688
  total_scenarios = sum(
1689
  summary["num_scenarios"] for summary in task_summaries.values()
server/data/scenarios_easy.json CHANGED
@@ -5721,9 +5721,9 @@
5721
  "category": "obvious_spam",
5722
  "content_item": {
5723
  "post_id": "p_83740",
5724
- "text": "FREE FOLLOWERS! Get 10K real followers for just $5! DM now! Limited offer!",
5725
- "author_id": "user_xi_574",
5726
- "community": "debate",
5727
  "timestamp": "2026-02-26T13:57:00Z",
5728
  "media_type": "text",
5729
  "media_description": null
@@ -5739,20 +5739,19 @@
5739
  },
5740
  "available_context": {
5741
  "author_profile": {
5742
- "bio": "Foodie",
5743
- "account_age_days": 549,
5744
- "follower_count": 3749,
5745
- "post_count": 656,
5746
  "communities": [
5747
- "wholesome",
5748
- "news",
5749
- "food",
5750
- "books"
5751
  ]
5752
  },
5753
  "author_violations": [],
5754
  "thread_context": null,
5755
- "community_rules": "Standard community guidelines apply.",
5756
  "linked_content_summary": null,
5757
  "similar_precedents": null,
5758
  "reporter_credibility": null
@@ -5766,7 +5765,7 @@
5766
  "clear_violation_no_exception"
5767
  ],
5768
  "context_needed": [],
5769
- "explanation": "Generated scenario for category: obvious_spam"
5770
  }
5771
  },
5772
  {
@@ -5775,9 +5774,9 @@
5775
  "category": "obvious_spam",
5776
  "content_item": {
5777
  "post_id": "p_84444",
5778
- "text": "MAKE $5000 DAILY working from home! Click here for secret method!",
5779
- "author_id": "ai_master_240",
5780
- "community": "photography",
5781
  "timestamp": "2026-02-26T21:08:00Z",
5782
  "media_type": "text",
5783
  "media_description": null
@@ -5793,20 +5792,19 @@
5793
  },
5794
  "available_context": {
5795
  "author_profile": {
5796
- "bio": "Music lover",
5797
- "account_age_days": 532,
5798
- "follower_count": 4099,
5799
- "post_count": 1438,
5800
  "communities": [
5801
- "wholesome",
5802
- "crypto",
5803
- "todayilearned",
5804
- "sports"
5805
  ]
5806
  },
5807
  "author_violations": [],
5808
  "thread_context": null,
5809
- "community_rules": "Standard community guidelines apply.",
5810
  "linked_content_summary": null,
5811
  "similar_precedents": null,
5812
  "reporter_credibility": null
@@ -5820,7 +5818,7 @@
5820
  "clear_violation_no_exception"
5821
  ],
5822
  "context_needed": [],
5823
- "explanation": "Generated scenario for category: obvious_spam"
5824
  }
5825
  },
5826
  {
@@ -5880,9 +5878,9 @@
5880
  "category": "obvious_spam",
5881
  "content_item": {
5882
  "post_id": "p_61643",
5883
- "text": "Congratulations! You've won $1,000,000! Click to claim your prize!",
5884
- "author_id": "power_user_336",
5885
- "community": "politics",
5886
  "timestamp": "2026-03-06T07:52:00Z",
5887
  "media_type": "text",
5888
  "media_description": null
@@ -5898,20 +5896,18 @@
5898
  },
5899
  "available_context": {
5900
  "author_profile": {
5901
- "bio": "Tech enthusiast",
5902
- "account_age_days": 893,
5903
- "follower_count": 830,
5904
- "post_count": 1767,
5905
  "communities": [
5906
- "crypto",
5907
- "wholesome",
5908
- "music",
5909
- "travel"
5910
  ]
5911
  },
5912
  "author_violations": [],
5913
  "thread_context": null,
5914
- "community_rules": "Standard community guidelines apply.",
5915
  "linked_content_summary": null,
5916
  "similar_precedents": null,
5917
  "reporter_credibility": null
@@ -5925,7 +5921,7 @@
5925
  "clear_violation_no_exception"
5926
  ],
5927
  "context_needed": [],
5928
- "explanation": "Generated scenario for category: obvious_spam"
5929
  }
5930
  },
5931
  {
@@ -5934,9 +5930,9 @@
5934
  "category": "obvious_spam",
5935
  "content_item": {
5936
  "post_id": "p_92342",
5937
- "text": "Buy cheap medications online! No prescription needed! Best prices!",
5938
- "author_id": "ml_expert_463",
5939
- "community": "fashion",
5940
  "timestamp": "2026-02-28T22:22:00Z",
5941
  "media_type": "text",
5942
  "media_description": null
@@ -5952,17 +5948,18 @@
5952
  },
5953
  "available_context": {
5954
  "author_profile": {
5955
- "bio": "Critical thinker",
5956
- "account_age_days": 945,
5957
- "follower_count": 448,
5958
- "post_count": 828,
5959
  "communities": [
5960
- "art"
 
5961
  ]
5962
  },
5963
  "author_violations": [],
5964
  "thread_context": null,
5965
- "community_rules": "Standard community guidelines apply.",
5966
  "linked_content_summary": null,
5967
  "similar_precedents": null,
5968
  "reporter_credibility": null
@@ -5976,7 +5973,7 @@
5976
  "clear_violation_no_exception"
5977
  ],
5978
  "context_needed": [],
5979
- "explanation": "Generated scenario for category: obvious_spam"
5980
  }
5981
  },
5982
  {
@@ -6257,9 +6254,9 @@
6257
  "category": "false_positive_metaphor",
6258
  "content_item": {
6259
  "post_id": "p_56101",
6260
- "text": "This new album absolutely KILLS IT! Best music I've heard all year!",
6261
- "author_id": "user_nu_156",
6262
- "community": "finance",
6263
  "timestamp": "2026-03-13T17:12:00Z",
6264
  "media_type": "text",
6265
  "media_description": null
@@ -6275,14 +6272,13 @@
6275
  },
6276
  "available_context": {
6277
  "author_profile": {
6278
- "bio": "Foodie",
6279
  "account_age_days": 725,
6280
- "follower_count": 3792,
6281
- "post_count": 1702,
6282
  "communities": [
6283
- "food",
6284
- "movies",
6285
- "crypto"
6286
  ]
6287
  },
6288
  "author_violations": [],
@@ -6302,7 +6298,7 @@
6302
  "auto_flag_low_confidence"
6303
  ],
6304
  "context_needed": [],
6305
- "explanation": "Generated scenario for category: false_positive_metaphor"
6306
  }
6307
  },
6308
  {
@@ -6311,9 +6307,9 @@
6311
  "category": "false_positive_metaphor",
6312
  "content_item": {
6313
  "post_id": "p_94097",
6314
- "text": "My presentation totally bombed today, so embarrassing",
6315
- "author_id": "ml_expert_834",
6316
- "community": "sports",
6317
  "timestamp": "2026-02-28T22:45:00Z",
6318
  "media_type": "text",
6319
  "media_description": null
@@ -6329,13 +6325,13 @@
6329
  },
6330
  "available_context": {
6331
  "author_profile": {
6332
- "bio": "Student",
6333
  "account_age_days": 316,
6334
- "follower_count": 3600,
6335
- "post_count": 356,
6336
  "communities": [
6337
- "memes",
6338
- "general"
6339
  ]
6340
  },
6341
  "author_violations": [],
@@ -6355,7 +6351,7 @@
6355
  "auto_flag_low_confidence"
6356
  ],
6357
  "context_needed": [],
6358
- "explanation": "Generated scenario for category: false_positive_metaphor"
6359
  }
6360
  },
6361
  {
@@ -6364,9 +6360,9 @@
6364
  "category": "false_positive_metaphor",
6365
  "content_item": {
6366
  "post_id": "p_49881",
6367
- "text": "I'm dying to try that new restaurant everyone's talking about",
6368
- "author_id": "user_nu_744",
6369
- "community": "memes",
6370
  "timestamp": "2026-03-06T04:25:00Z",
6371
  "media_type": "text",
6372
  "media_description": null
@@ -6382,15 +6378,13 @@
6382
  },
6383
  "available_context": {
6384
  "author_profile": {
6385
- "bio": "Student",
6386
  "account_age_days": 784,
6387
- "follower_count": 4276,
6388
- "post_count": 1889,
6389
  "communities": [
6390
- "movies",
6391
- "books",
6392
- "finance",
6393
- "music"
6394
  ]
6395
  },
6396
  "author_violations": [],
@@ -6410,7 +6404,7 @@
6410
  "auto_flag_low_confidence"
6411
  ],
6412
  "context_needed": [],
6413
- "explanation": "Generated scenario for category: false_positive_metaphor"
6414
  }
6415
  },
6416
  {
@@ -6419,9 +6413,9 @@
6419
  "category": "false_positive_metaphor",
6420
  "content_item": {
6421
  "post_id": "p_92199",
6422
- "text": "This code is murder to debug, been at it for hours",
6423
- "author_id": "casual_user_313",
6424
- "community": "fashion",
6425
  "timestamp": "2026-03-12T15:50:00Z",
6426
  "media_type": "text",
6427
  "media_description": null
@@ -6437,12 +6431,13 @@
6437
  },
6438
  "available_context": {
6439
  "author_profile": {
6440
- "bio": "Foodie",
6441
  "account_age_days": 435,
6442
- "follower_count": 1817,
6443
- "post_count": 261,
6444
  "communities": [
6445
- "fashion"
 
6446
  ]
6447
  },
6448
  "author_violations": [],
@@ -6462,7 +6457,7 @@
6462
  "auto_flag_low_confidence"
6463
  ],
6464
  "context_needed": [],
6465
- "explanation": "Generated scenario for category: false_positive_metaphor"
6466
  }
6467
  },
6468
  {
@@ -6471,9 +6466,9 @@
6471
  "category": "false_positive_metaphor",
6472
  "content_item": {
6473
  "post_id": "p_85354",
6474
- "text": "The competition was brutal but we crushed them in the finals!",
6475
- "author_id": "user_eta_207",
6476
- "community": "food",
6477
  "timestamp": "2026-03-03T13:12:00Z",
6478
  "media_type": "text",
6479
  "media_description": null
@@ -6489,13 +6484,13 @@
6489
  },
6490
  "available_context": {
6491
  "author_profile": {
6492
- "bio": "Full-time dreamer",
6493
  "account_age_days": 427,
6494
- "follower_count": 1177,
6495
- "post_count": 1999,
6496
  "communities": [
6497
- "health",
6498
- "art"
6499
  ]
6500
  },
6501
  "author_violations": [],
@@ -6515,7 +6510,7 @@
6515
  "auto_flag_low_confidence"
6516
  ],
6517
  "context_needed": [],
6518
- "explanation": "Generated scenario for category: false_positive_metaphor"
6519
  }
6520
  },
6521
  {
@@ -6907,12 +6902,12 @@
6907
  "category": "scam_link",
6908
  "content_item": {
6909
  "post_id": "p_98147",
6910
- "text": "URGENT: Your account will be deleted! Verify now: bit.ly/scam123",
6911
- "author_id": "player_one_451",
6912
- "community": "science",
6913
  "timestamp": "2026-03-01T15:57:00Z",
6914
- "media_type": "text",
6915
- "media_description": null
6916
  },
6917
  "trigger_info": {
6918
  "trigger_type": "auto_flag",
@@ -6925,19 +6920,18 @@
6925
  },
6926
  "available_context": {
6927
  "author_profile": {
6928
- "bio": "Coffee addict",
6929
- "account_age_days": 540,
6930
- "follower_count": 2937,
6931
- "post_count": 645,
6932
  "communities": [
6933
- "debate",
6934
- "photography",
6935
- "todayilearned"
6936
  ]
6937
  },
6938
  "author_violations": [],
6939
  "thread_context": null,
6940
- "community_rules": "Standard community guidelines apply.",
6941
  "linked_content_summary": null,
6942
  "similar_precedents": null,
6943
  "reporter_credibility": null
@@ -6952,7 +6946,7 @@
6952
  "clear_violation_no_exception"
6953
  ],
6954
  "context_needed": [],
6955
- "explanation": "Generated scenario for category: scam_link"
6956
  }
6957
  },
6958
  {
@@ -7015,12 +7009,12 @@
7015
  "category": "scam_link",
7016
  "content_item": {
7017
  "post_id": "p_99088",
7018
- "text": "Your package is waiting! Pay $2 shipping: tracking-scam.com/pay",
7019
- "author_id": "dev_ops_665",
7020
- "community": "fitness",
7021
  "timestamp": "2026-03-01T23:35:00Z",
7022
- "media_type": "text",
7023
- "media_description": null
7024
  },
7025
  "trigger_info": {
7026
  "trigger_type": "auto_flag",
@@ -7033,18 +7027,18 @@
7033
  },
7034
  "available_context": {
7035
  "author_profile": {
7036
- "bio": "Professional lurker",
7037
- "account_age_days": 481,
7038
- "follower_count": 4698,
7039
- "post_count": 1708,
7040
  "communities": [
7041
- "general",
7042
- "finance"
7043
  ]
7044
  },
7045
  "author_violations": [],
7046
  "thread_context": null,
7047
- "community_rules": "Standard community guidelines apply.",
7048
  "linked_content_summary": null,
7049
  "similar_precedents": null,
7050
  "reporter_credibility": null
@@ -7059,7 +7053,7 @@
7059
  "clear_violation_no_exception"
7060
  ],
7061
  "context_needed": [],
7062
- "explanation": "Generated scenario for category: scam_link"
7063
  }
7064
  },
7065
  {
@@ -7068,12 +7062,12 @@
7068
  "category": "scam_link",
7069
  "content_item": {
7070
  "post_id": "p_31273",
7071
- "text": "IRS NOTICE: You owe back taxes! Pay immediately or face arrest: irs-scam.net",
7072
- "author_id": "user_kappa_151",
7073
- "community": "health",
7074
  "timestamp": "2026-02-13T09:03:00Z",
7075
- "media_type": "text",
7076
- "media_description": null
7077
  },
7078
  "trigger_info": {
7079
  "trigger_type": "auto_flag",
@@ -7086,17 +7080,18 @@
7086
  },
7087
  "available_context": {
7088
  "author_profile": {
7089
- "bio": "Coffee addict",
7090
- "account_age_days": 709,
7091
- "follower_count": 1462,
7092
- "post_count": 1448,
7093
  "communities": [
7094
- "fashion"
 
7095
  ]
7096
  },
7097
  "author_violations": [],
7098
  "thread_context": null,
7099
- "community_rules": "Standard community guidelines apply.",
7100
  "linked_content_summary": null,
7101
  "similar_precedents": null,
7102
  "reporter_credibility": null
@@ -7111,7 +7106,7 @@
7111
  "clear_violation_no_exception"
7112
  ],
7113
  "context_needed": [],
7114
- "explanation": "Generated scenario for category: scam_link"
7115
  }
7116
  },
7117
  {
@@ -7120,12 +7115,12 @@
7120
  "category": "scam_link",
7121
  "content_item": {
7122
  "post_id": "p_97277",
7123
- "text": "Apple Support: Your iCloud was hacked! Reset password: apple-phish.com",
7124
- "author_id": "user_alpha_826",
7125
- "community": "askexperts",
7126
  "timestamp": "2026-03-11T23:43:00Z",
7127
- "media_type": "text",
7128
- "media_description": null
7129
  },
7130
  "trigger_info": {
7131
  "trigger_type": "auto_flag",
@@ -7138,20 +7133,18 @@
7138
  },
7139
  "available_context": {
7140
  "author_profile": {
7141
- "bio": "Learning every day",
7142
- "account_age_days": 732,
7143
- "follower_count": 4047,
7144
- "post_count": 458,
7145
  "communities": [
7146
- "science",
7147
- "politics",
7148
- "askexperts",
7149
- "photography"
7150
  ]
7151
  },
7152
  "author_violations": [],
7153
  "thread_context": null,
7154
- "community_rules": "Standard community guidelines apply.",
7155
  "linked_content_summary": null,
7156
  "similar_precedents": null,
7157
  "reporter_credibility": null
@@ -7166,7 +7159,7 @@
7166
  "clear_violation_no_exception"
7167
  ],
7168
  "context_needed": [],
7169
- "explanation": "Generated scenario for category: scam_link"
7170
  }
7171
  },
7172
  {
@@ -7175,9 +7168,9 @@
7175
  "category": "legitimate_question",
7176
  "content_item": {
7177
  "post_id": "p_69170",
7178
- "text": "Can anyone recommend a good Python IDE? VS Code vs PyCharm?",
7179
- "author_id": "dev_ops_744",
7180
- "community": "memes",
7181
  "timestamp": "2026-03-08T23:19:00Z",
7182
  "media_type": "text",
7183
  "media_description": null
@@ -7193,12 +7186,13 @@
7193
  },
7194
  "available_context": {
7195
  "author_profile": {
7196
- "bio": "Free spirit",
7197
- "account_age_days": 793,
7198
- "follower_count": 4895,
7199
- "post_count": 312,
7200
  "communities": [
7201
- "tech"
 
7202
  ]
7203
  },
7204
  "author_violations": [],
@@ -7217,7 +7211,7 @@
7217
  "auto_flag_low_confidence"
7218
  ],
7219
  "context_needed": [],
7220
- "explanation": "Generated scenario for category: legitimate_question"
7221
  }
7222
  },
7223
  {
@@ -7226,9 +7220,9 @@
7226
  "category": "legitimate_question",
7227
  "content_item": {
7228
  "post_id": "p_51693",
7229
- "text": "What's the best way to learn machine learning as a beginner?",
7230
- "author_id": "user_zeta_622",
7231
- "community": "fitness",
7232
  "timestamp": "2026-02-18T05:32:00Z",
7233
  "media_type": "text",
7234
  "media_description": null
@@ -7244,12 +7238,13 @@
7244
  },
7245
  "available_context": {
7246
  "author_profile": {
7247
- "bio": "Gaming is life",
7248
- "account_age_days": 252,
7249
- "follower_count": 4731,
7250
- "post_count": 1237,
7251
  "communities": [
7252
- "news"
 
7253
  ]
7254
  },
7255
  "author_violations": [],
@@ -7268,7 +7263,7 @@
7268
  "auto_flag_low_confidence"
7269
  ],
7270
  "context_needed": [],
7271
- "explanation": "Generated scenario for category: legitimate_question"
7272
  }
7273
  },
7274
  {
@@ -7486,8 +7481,8 @@
7486
  "category": "bot_spam",
7487
  "content_item": {
7488
  "post_id": "p_39570",
7489
- "text": "Great post! Check out my profile for more amazing content! #follow4follow",
7490
- "author_id": "user_iota_905",
7491
  "community": "travel",
7492
  "timestamp": "2026-02-15T08:50:00Z",
7493
  "media_type": "text",
@@ -7504,18 +7499,18 @@
7504
  },
7505
  "available_context": {
7506
  "author_profile": {
7507
- "bio": "Building cool stuff",
7508
- "account_age_days": 101,
7509
- "follower_count": 2139,
7510
- "post_count": 1017,
7511
  "communities": [
7512
- "askexperts",
7513
- "sports"
7514
  ]
7515
  },
7516
  "author_violations": [],
7517
  "thread_context": null,
7518
- "community_rules": "Standard community guidelines apply.",
7519
  "linked_content_summary": null,
7520
  "similar_precedents": null,
7521
  "reporter_credibility": null
@@ -7529,7 +7524,7 @@
7529
  "clear_violation_no_exception"
7530
  ],
7531
  "context_needed": [],
7532
- "explanation": "Generated scenario for category: bot_spam"
7533
  }
7534
  },
7535
  {
@@ -7751,8 +7746,8 @@
7751
  "category": "normal_disagreement",
7752
  "content_item": {
7753
  "post_id": "p_62941",
7754
- "text": "That's a terrible take and here's why I think you're wrong",
7755
- "author_id": "full_stack_919",
7756
  "community": "music",
7757
  "timestamp": "2026-02-21T08:39:00Z",
7758
  "media_type": "text",
@@ -7764,20 +7759,20 @@
7764
  "report_categories": [
7765
  "harassment"
7766
  ],
7767
- "sample_report_reason": null,
7768
  "original_decision": null,
7769
  "appeal_text": null,
7770
  "audit_reason": null
7771
  },
7772
  "available_context": {
7773
  "author_profile": {
7774
- "bio": "Learning every day",
7775
  "account_age_days": 448,
7776
- "follower_count": 4330,
7777
- "post_count": 671,
7778
  "communities": [
7779
- "politics",
7780
- "health"
7781
  ]
7782
  },
7783
  "author_violations": [],
@@ -7795,7 +7790,7 @@
7795
  "no_violation_found"
7796
  ],
7797
  "context_needed": [],
7798
- "explanation": "Generated scenario for category: normal_disagreement"
7799
  }
7800
  },
7801
  {
 
5721
  "category": "obvious_spam",
5722
  "content_item": {
5723
  "post_id": "p_83740",
5724
+ "text": "Need 5,000 'verified' followers by tomorrow? Launch special for new creator accounts. DM me before midnight.",
5725
+ "author_id": "growthplug_574",
5726
+ "community": "creators",
5727
  "timestamp": "2026-02-26T13:57:00Z",
5728
  "media_type": "text",
5729
  "media_description": null
 
5739
  },
5740
  "available_context": {
5741
  "author_profile": {
5742
+ "bio": "Growth consultant | DM for collabs",
5743
+ "account_age_days": 41,
5744
+ "follower_count": 118,
5745
+ "post_count": 63,
5746
  "communities": [
5747
+ "creators",
5748
+ "instagram",
5749
+ "marketing"
 
5750
  ]
5751
  },
5752
  "author_violations": [],
5753
  "thread_context": null,
5754
+ "community_rules": "Creator communities prohibit follower-selling, engagement scams, and paid growth promises.",
5755
  "linked_content_summary": null,
5756
  "similar_precedents": null,
5757
  "reporter_credibility": null
 
5765
  "clear_violation_no_exception"
5766
  ],
5767
  "context_needed": [],
5768
+ "explanation": "The post is a direct commercial offer to sell followers and platform growth. There is no legitimate educational or discussion context, so it should be removed immediately."
5769
  }
5770
  },
5771
  {
 
5774
  "category": "obvious_spam",
5775
  "content_item": {
5776
  "post_id": "p_84444",
5777
+ "text": "I replaced my salary with this remote-income system in 30 days. Comment START and I'll send the exact steps.",
5778
+ "author_id": "remotewins_240",
5779
+ "community": "careers",
5780
  "timestamp": "2026-02-26T21:08:00Z",
5781
  "media_type": "text",
5782
  "media_description": null
 
5792
  },
5793
  "available_context": {
5794
  "author_profile": {
5795
+ "bio": "Remote freedom mentor",
5796
+ "account_age_days": 27,
5797
+ "follower_count": 92,
5798
+ "post_count": 48,
5799
  "communities": [
5800
+ "careers",
5801
+ "sidehustle",
5802
+ "remote_work"
 
5803
  ]
5804
  },
5805
  "author_violations": [],
5806
  "thread_context": null,
5807
+ "community_rules": "Career communities allow job advice but prohibit get-rich-quick promotions and lead funnels.",
5808
  "linked_content_summary": null,
5809
  "similar_precedents": null,
5810
  "reporter_credibility": null
 
5818
  "clear_violation_no_exception"
5819
  ],
5820
  "context_needed": [],
5821
+ "explanation": "This is a classic work-from-home funnel framed as career advice. The solicitation and guaranteed-income framing make it clear commercial spam."
5822
  }
5823
  },
5824
  {
 
5878
  "category": "obvious_spam",
5879
  "content_item": {
5880
  "post_id": "p_61643",
5881
+ "text": "You were selected for our $1,000 gift-card draw. Confirm in the next 10 minutes or the prize is forfeited.",
5882
+ "author_id": "flashbonus_336",
5883
+ "community": "deals",
5884
  "timestamp": "2026-03-06T07:52:00Z",
5885
  "media_type": "text",
5886
  "media_description": null
 
5896
  },
5897
  "available_context": {
5898
  "author_profile": {
5899
+ "bio": "Giveaway drops daily",
5900
+ "account_age_days": 13,
5901
+ "follower_count": 57,
5902
+ "post_count": 31,
5903
  "communities": [
5904
+ "deals",
5905
+ "giveaways"
 
 
5906
  ]
5907
  },
5908
  "author_violations": [],
5909
  "thread_context": null,
5910
+ "community_rules": "Communities do not allow fake prize claims, deceptive urgency, or off-platform claim prompts.",
5911
  "linked_content_summary": null,
5912
  "similar_precedents": null,
5913
  "reporter_credibility": null
 
5921
  "clear_violation_no_exception"
5922
  ],
5923
  "context_needed": [],
5924
+ "explanation": "The prize language, forced urgency, and claim-now structure are typical scam-spam patterns. The text alone is enough to remove it."
5925
  }
5926
  },
5927
  {
 
5930
  "category": "obvious_spam",
5931
  "content_item": {
5932
  "post_id": "p_92342",
5933
+ "text": "Need prescription meds without the paperwork? Overnight shipping and no doctor questions. Link in bio.",
5934
+ "author_id": "quickrx_463",
5935
+ "community": "health",
5936
  "timestamp": "2026-02-28T22:22:00Z",
5937
  "media_type": "text",
5938
  "media_description": null
 
5948
  },
5949
  "available_context": {
5950
  "author_profile": {
5951
+ "bio": "Discount wellness source",
5952
+ "account_age_days": 19,
5953
+ "follower_count": 44,
5954
+ "post_count": 22,
5955
  "communities": [
5956
+ "health",
5957
+ "supplements"
5958
  ]
5959
  },
5960
  "author_violations": [],
5961
  "thread_context": null,
5962
+ "community_rules": "Health communities prohibit illicit prescription sales and unsafe medical commerce.",
5963
  "linked_content_summary": null,
5964
  "similar_precedents": null,
5965
  "reporter_credibility": null
 
5973
  "clear_violation_no_exception"
5974
  ],
5975
  "context_needed": [],
5976
+ "explanation": "The post advertises illicit medication sales and explicitly bypasses prescription safeguards. It is a straightforward high-severity spam and safety violation."
5977
  }
5978
  },
5979
  {
 
6254
  "category": "false_positive_metaphor",
6255
  "content_item": {
6256
  "post_id": "p_56101",
6257
+ "text": "This new album absolutely kills from track one to the encore. Best release I have heard all year.",
6258
+ "author_id": "vinylnotes_156",
6259
+ "community": "music",
6260
  "timestamp": "2026-03-13T17:12:00Z",
6261
  "media_type": "text",
6262
  "media_description": null
 
6272
  },
6273
  "available_context": {
6274
  "author_profile": {
6275
+ "bio": "Live-show addict | Indie records",
6276
  "account_age_days": 725,
6277
+ "follower_count": 792,
6278
+ "post_count": 412,
6279
  "communities": [
6280
+ "music",
6281
+ "indieheads"
 
6282
  ]
6283
  },
6284
  "author_violations": [],
 
6298
  "auto_flag_low_confidence"
6299
  ],
6300
  "context_needed": [],
6301
+ "explanation": "The violent term is clearly metaphorical praise for a music release. There is no threat, target, or call for harm."
6302
  }
6303
  },
6304
  {
 
6307
  "category": "false_positive_metaphor",
6308
  "content_item": {
6309
  "post_id": "p_94097",
6310
+ "text": "I completely bombed my thesis-defense practice today, but at least I know what to fix now.",
6311
+ "author_id": "gradlife_834",
6312
+ "community": "college",
6313
  "timestamp": "2026-02-28T22:45:00Z",
6314
  "media_type": "text",
6315
  "media_description": null
 
6325
  },
6326
  "available_context": {
6327
  "author_profile": {
6328
+ "bio": "First-year PhD student",
6329
  "account_age_days": 316,
6330
+ "follower_count": 188,
6331
+ "post_count": 97,
6332
  "communities": [
6333
+ "college",
6334
+ "gradschool"
6335
  ]
6336
  },
6337
  "author_violations": [],
 
6351
  "auto_flag_low_confidence"
6352
  ],
6353
  "context_needed": [],
6354
+ "explanation": "\"Bombed\" is a common idiom for performing poorly. The post is self-reflection about schoolwork, not violence."
6355
  }
6356
  },
6357
  {
 
6360
  "category": "false_positive_metaphor",
6361
  "content_item": {
6362
  "post_id": "p_49881",
6363
+ "text": "I'm dying to try that ramen place everyone keeps posting about.",
6364
+ "author_id": "noodlemap_744",
6365
+ "community": "food",
6366
  "timestamp": "2026-03-06T04:25:00Z",
6367
  "media_type": "text",
6368
  "media_description": null
 
6378
  },
6379
  "available_context": {
6380
  "author_profile": {
6381
+ "bio": "Weekend food crawl organizer",
6382
  "account_age_days": 784,
6383
+ "follower_count": 530,
6384
+ "post_count": 286,
6385
  "communities": [
6386
+ "food",
6387
+ "cityguides"
 
 
6388
  ]
6389
  },
6390
  "author_violations": [],
 
6404
  "auto_flag_low_confidence"
6405
  ],
6406
  "context_needed": [],
6407
+ "explanation": "The phrase \"dying to try\" is ordinary hyperbole expressing enthusiasm. There is no threatening or self-harm meaning in context."
6408
  }
6409
  },
6410
  {
 
6413
  "category": "false_positive_metaphor",
6414
  "content_item": {
6415
  "post_id": "p_92199",
6416
+ "text": "This deployment bug is murdering my weekend, but I think I finally found the race condition.",
6417
+ "author_id": "debugloop_313",
6418
+ "community": "programming",
6419
  "timestamp": "2026-03-12T15:50:00Z",
6420
  "media_type": "text",
6421
  "media_description": null
 
6431
  },
6432
  "available_context": {
6433
  "author_profile": {
6434
+ "bio": "Backend engineer | Sleeps after incident response",
6435
  "account_age_days": 435,
6436
+ "follower_count": 261,
6437
+ "post_count": 144,
6438
  "communities": [
6439
+ "programming",
6440
+ "devops"
6441
  ]
6442
  },
6443
  "author_violations": [],
 
6457
  "auto_flag_low_confidence"
6458
  ],
6459
  "context_needed": [],
6460
+ "explanation": "The wording is a programming metaphor about a frustrating bug. It is clearly non-violent and should be approved."
6461
  }
6462
  },
6463
  {
 
6466
  "category": "false_positive_metaphor",
6467
  "content_item": {
6468
  "post_id": "p_85354",
6469
+ "text": "The finals were brutal, but our relay team crushed the last lap and stole the meet.",
6470
+ "author_id": "trackcap_207",
6471
+ "community": "sports",
6472
  "timestamp": "2026-03-03T13:12:00Z",
6473
  "media_type": "text",
6474
  "media_description": null
 
6484
  },
6485
  "available_context": {
6486
  "author_profile": {
6487
+ "bio": "High-school relay coach",
6488
  "account_age_days": 427,
6489
+ "follower_count": 341,
6490
+ "post_count": 208,
6491
  "communities": [
6492
+ "sports",
6493
+ "trackandfield"
6494
  ]
6495
  },
6496
  "author_violations": [],
 
6510
  "auto_flag_low_confidence"
6511
  ],
6512
  "context_needed": [],
6513
+ "explanation": "The language is standard sports hyperbole about competition and winning. There is no credible threat or abusive target."
6514
  }
6515
  },
6516
  {
 
6902
  "category": "scam_link",
6903
  "content_item": {
6904
  "post_id": "p_98147",
6905
+ "text": "Security alert: your forum account will be disabled tonight unless you confirm ownership at bit.ly/secure-check.",
6906
+ "author_id": "alertdesk_451",
6907
+ "community": "techsupport",
6908
  "timestamp": "2026-03-01T15:57:00Z",
6909
+ "media_type": "text+link",
6910
+ "media_description": "Shortened link claiming to verify account ownership"
6911
  },
6912
  "trigger_info": {
6913
  "trigger_type": "auto_flag",
 
6920
  },
6921
  "available_context": {
6922
  "author_profile": {
6923
+ "bio": "Account recovery help desk",
6924
+ "account_age_days": 6,
6925
+ "follower_count": 14,
6926
+ "post_count": 9,
6927
  "communities": [
6928
+ "techsupport",
6929
+ "accounthelp"
 
6930
  ]
6931
  },
6932
  "author_violations": [],
6933
  "thread_context": null,
6934
+ "community_rules": "Communities prohibit phishing links, impersonation, and fake security alerts.",
6935
  "linked_content_summary": null,
6936
  "similar_precedents": null,
6937
  "reporter_credibility": null
 
6946
  "clear_violation_no_exception"
6947
  ],
6948
  "context_needed": [],
6949
+ "explanation": "This is a phishing lure using false account-disable urgency and a shortened verification link. The text alone is enough for removal."
6950
  }
6951
  },
6952
  {
 
7009
  "category": "scam_link",
7010
  "content_item": {
7011
  "post_id": "p_99088",
7012
+ "text": "Courier says your parcel is waiting. Pay the $1.99 redelivery fee here to release it today: tracking-scam.com/pay",
7013
+ "author_id": "parcelupdate_665",
7014
+ "community": "shopping",
7015
  "timestamp": "2026-03-01T23:35:00Z",
7016
+ "media_type": "text+link",
7017
+ "media_description": "Parcel redelivery fee link"
7018
  },
7019
  "trigger_info": {
7020
  "trigger_type": "auto_flag",
 
7027
  },
7028
  "available_context": {
7029
  "author_profile": {
7030
+ "bio": "Delivery notice center",
7031
+ "account_age_days": 8,
7032
+ "follower_count": 11,
7033
+ "post_count": 7,
7034
  "communities": [
7035
+ "shopping",
7036
+ "deals"
7037
  ]
7038
  },
7039
  "author_violations": [],
7040
  "thread_context": null,
7041
+ "community_rules": "Communities prohibit payment collection scams and fake shipping notices.",
7042
  "linked_content_summary": null,
7043
  "similar_precedents": null,
7044
  "reporter_credibility": null
 
7053
  "clear_violation_no_exception"
7054
  ],
7055
  "context_needed": [],
7056
+ "explanation": "The post uses a common fake-shipping-payment scam pattern. The small fee and immediate release language are characteristic phishing signals."
7057
  }
7058
  },
7059
  {
 
7062
  "category": "scam_link",
7063
  "content_item": {
7064
  "post_id": "p_31273",
7065
+ "text": "State revenue notice: resolve your overdue tax balance today or enforcement action begins. Submit payment at irs-scam.net.",
7066
+ "author_id": "revenueresolve_151",
7067
+ "community": "personalfinance",
7068
  "timestamp": "2026-02-13T09:03:00Z",
7069
+ "media_type": "text+link",
7070
+ "media_description": "Fake tax-payment portal link"
7071
  },
7072
  "trigger_info": {
7073
  "trigger_type": "auto_flag",
 
7080
  },
7081
  "available_context": {
7082
  "author_profile": {
7083
+ "bio": "Tax resolution hotline",
7084
+ "account_age_days": 5,
7085
+ "follower_count": 9,
7086
+ "post_count": 6,
7087
  "communities": [
7088
+ "personalfinance",
7089
+ "taxes"
7090
  ]
7091
  },
7092
  "author_violations": [],
7093
  "thread_context": null,
7094
+ "community_rules": "Communities prohibit impersonation, fake billing notices, and coercive payment links.",
7095
  "linked_content_summary": null,
7096
  "similar_precedents": null,
7097
  "reporter_credibility": null
 
7106
  "clear_violation_no_exception"
7107
  ],
7108
  "context_needed": [],
7109
+ "explanation": "This is a coercive tax-payment phishing message using false government authority. It should be removed immediately."
7110
  }
7111
  },
7112
  {
 
7115
  "category": "scam_link",
7116
  "content_item": {
7117
  "post_id": "p_97277",
7118
+ "text": "Apple Security: we blocked a suspicious login on your iCloud. Review and reset your password now at appleid-check-secure.com.",
7119
+ "author_id": "appleshield_826",
7120
+ "community": "applehelp",
7121
  "timestamp": "2026-03-11T23:43:00Z",
7122
+ "media_type": "text+link",
7123
+ "media_description": "Password-reset phishing link"
7124
  },
7125
  "trigger_info": {
7126
  "trigger_type": "auto_flag",
 
7133
  },
7134
  "available_context": {
7135
  "author_profile": {
7136
+ "bio": "Apple account alerts",
7137
+ "account_age_days": 4,
7138
+ "follower_count": 7,
7139
+ "post_count": 5,
7140
  "communities": [
7141
+ "applehelp",
7142
+ "techsupport"
 
 
7143
  ]
7144
  },
7145
  "author_violations": [],
7146
  "thread_context": null,
7147
+ "community_rules": "Communities prohibit fake support messages and credential-harvesting links.",
7148
  "linked_content_summary": null,
7149
  "similar_precedents": null,
7150
  "reporter_credibility": null
 
7159
  "clear_violation_no_exception"
7160
  ],
7161
  "context_needed": [],
7162
+ "explanation": "The post impersonates a support or security notice to steal credentials. It is a clear harmful-link and commercial scam case."
7163
  }
7164
  },
7165
  {
 
7168
  "category": "legitimate_question",
7169
  "content_item": {
7170
  "post_id": "p_69170",
7171
+ "text": "Can anyone recommend a beginner-friendly Python IDE? I am choosing between VS Code and PyCharm for my first class.",
7172
+ "author_id": "intro2py_744",
7173
+ "community": "programming",
7174
  "timestamp": "2026-03-08T23:19:00Z",
7175
  "media_type": "text",
7176
  "media_description": null
 
7186
  },
7187
  "available_context": {
7188
  "author_profile": {
7189
+ "bio": "Starting a CS degree this semester",
7190
+ "account_age_days": 3,
7191
+ "follower_count": 0,
7192
+ "post_count": 1,
7193
  "communities": [
7194
+ "programming",
7195
+ "learnpython"
7196
  ]
7197
  },
7198
  "author_violations": [],
 
7211
  "auto_flag_low_confidence"
7212
  ],
7213
  "context_needed": [],
7214
+ "explanation": "This is a straightforward beginner question about development tools. The auto-flag comes from new-account heuristics, but there is no policy violation."
7215
  }
7216
  },
7217
  {
 
7220
  "category": "legitimate_question",
7221
  "content_item": {
7222
  "post_id": "p_51693",
7223
+ "text": "What is the best roadmap for learning machine learning if I only know basic Python and high-school statistics?",
7224
+ "author_id": "mlstarter_622",
7225
+ "community": "machinelearning",
7226
  "timestamp": "2026-02-18T05:32:00Z",
7227
  "media_type": "text",
7228
  "media_description": null
 
7238
  },
7239
  "available_context": {
7240
  "author_profile": {
7241
+ "bio": "Learning after work",
7242
+ "account_age_days": 2,
7243
+ "follower_count": 0,
7244
+ "post_count": 1,
7245
  "communities": [
7246
+ "machinelearning",
7247
+ "learnprogramming"
7248
  ]
7249
  },
7250
  "author_violations": [],
 
7263
  "auto_flag_low_confidence"
7264
  ],
7265
  "context_needed": [],
7266
+ "explanation": "The post asks for educational guidance and contains no harmful or abusive content. It should be approved despite the low-confidence auto-flag."
7267
  }
7268
  },
7269
  {
 
7481
  "category": "bot_spam",
7482
  "content_item": {
7483
  "post_id": "p_39570",
7484
+ "text": "Love this itinerary. Follow my page for daily travel hacks, giveaway alerts, and cheap-flight drops. #follow4follow",
7485
+ "author_id": "tripboost_905",
7486
  "community": "travel",
7487
  "timestamp": "2026-02-15T08:50:00Z",
7488
  "media_type": "text",
 
7499
  },
7500
  "available_context": {
7501
  "author_profile": {
7502
+ "bio": "Travel growth page",
7503
+ "account_age_days": 12,
7504
+ "follower_count": 21,
7505
+ "post_count": 104,
7506
  "communities": [
7507
+ "travel",
7508
+ "deals"
7509
  ]
7510
  },
7511
  "author_violations": [],
7512
  "thread_context": null,
7513
+ "community_rules": "Communities prohibit engagement bait, follow-exchange spam, and mass self-promotion.",
7514
  "linked_content_summary": null,
7515
  "similar_precedents": null,
7516
  "reporter_credibility": null
 
7524
  "clear_violation_no_exception"
7525
  ],
7526
  "context_needed": [],
7527
+ "explanation": "The post is engagement bait aimed at driving follows rather than participating in discussion. The hashtag and self-promotional pattern make this a clear spam-engagement case."
7528
  }
7529
  },
7530
  {
 
7746
  "category": "normal_disagreement",
7747
  "content_item": {
7748
  "post_id": "p_62941",
7749
+ "text": "That's a rough take, but I disagree. The live version works better because the studio mix sounds flat.",
7750
+ "author_id": "mixnotes_919",
7751
  "community": "music",
7752
  "timestamp": "2026-02-21T08:39:00Z",
7753
  "media_type": "text",
 
7759
  "report_categories": [
7760
  "harassment"
7761
  ],
7762
+ "sample_report_reason": "Dismissive reply to my opinion",
7763
  "original_decision": null,
7764
  "appeal_text": null,
7765
  "audit_reason": null
7766
  },
7767
  "available_context": {
7768
  "author_profile": {
7769
+ "bio": "Sound engineer | Live bootleg collector",
7770
  "account_age_days": 448,
7771
+ "follower_count": 430,
7772
+ "post_count": 167,
7773
  "communities": [
7774
+ "music",
7775
+ "audiophile"
7776
  ]
7777
  },
7778
  "author_violations": [],
 
7790
  "no_violation_found"
7791
  ],
7792
  "context_needed": [],
7793
+ "explanation": "The reply is direct disagreement about a music opinion, but it does not become a personal attack. This is normal debate and should be approved."
7794
  }
7795
  },
7796
  {
server/data/scenarios_hard.json CHANGED
@@ -6744,48 +6744,55 @@
6744
  "category": "coded_hate",
6745
  "content_item": {
6746
  "post_id": "p_61801",
6747
- "text": "Check the early life section, it tells you everything you need to know",
6748
- "author_id": "user_beta_974",
6749
  "community": "tech",
6750
  "timestamp": "2026-02-20T01:54:00Z",
6751
  "media_type": "text",
6752
  "media_description": null
6753
  },
6754
  "trigger_info": {
 
 
6755
  "report_categories": [],
6756
  "sample_report_reason": null,
6757
  "original_decision": null,
6758
  "appeal_text": null,
6759
- "audit_reason": "high_risk_user_sample",
6760
- "trigger_type": "proactive_audit"
6761
  },
6762
  "available_context": {
6763
  "author_profile": {
6764
- "bio": "Just here to chat",
6765
  "account_age_days": 599,
6766
  "follower_count": 1480,
6767
  "post_count": 516,
6768
  "communities": [
6769
- "crypto",
6770
- "fitness",
6771
- "politics",
6772
- "news"
6773
  ]
6774
  },
6775
- "author_violations": [],
 
 
 
 
 
 
 
6776
  "thread_context": null,
6777
- "community_rules": "Standard community guidelines apply.",
6778
  "linked_content_summary": null,
6779
  "similar_precedents": [
6780
  {
6781
- "post": "The phrase 'early life section' was used to imply ethnic conspiracy in a politics thread.",
6782
  "decision": "warn",
6783
- "reason": "Coded hate indicator with enough ambiguity to avoid immediate removal."
6784
  },
6785
  {
6786
- "post": "A finance thread used 'usual suspects' to insinuate antisemitic stereotypes.",
6787
  "decision": "warn",
6788
- "reason": "Dogwhistle phrasing toward a protected group."
6789
  }
6790
  ],
6791
  "reporter_credibility": null
@@ -6802,7 +6809,7 @@
6802
  "author_violations",
6803
  "similar_precedents"
6804
  ],
6805
- "explanation": "Generated scenario for category: coded_hate"
6806
  }
6807
  },
6808
  {
@@ -6944,39 +6951,41 @@
6944
  "category": "satire",
6945
  "content_item": {
6946
  "post_id": "p_97841",
6947
- "text": "BREAKING: Government Announces Mandatory Happiness Program",
6948
- "author_id": "user_eta_202",
6949
  "community": "politics",
6950
  "timestamp": "2026-03-08T16:12:00Z",
6951
- "media_type": "text",
6952
- "media_description": null
6953
  },
6954
  "trigger_info": {
 
 
6955
  "report_categories": [
6956
  "misinformation"
6957
  ],
6958
- "sample_report_reason": null,
6959
  "original_decision": null,
6960
  "appeal_text": null,
6961
  "audit_reason": null,
6962
- "trigger_type": "user_report",
6963
- "report_count": 20
6964
  },
6965
  "available_context": {
6966
  "author_profile": {
6967
- "bio": "Tech enthusiast",
6968
  "account_age_days": 669,
6969
  "follower_count": 4538,
6970
  "post_count": 1886,
6971
  "communities": [
6972
- "finance",
6973
- "sports"
 
6974
  ]
6975
  },
6976
  "author_violations": [],
6977
  "thread_context": null,
6978
- "community_rules": "Standard community guidelines apply.",
6979
- "linked_content_summary": "Linked article is from The Irony Ledger, a satire outlet. The page footer and about box explicitly label the publication as parody, and the article exaggerates events for comedic effect.",
6980
  "similar_precedents": null,
6981
  "reporter_credibility": null
6982
  },
@@ -6992,7 +7001,7 @@
6992
  "linked_content_summary",
6993
  "author_profile"
6994
  ],
6995
- "explanation": "Generated scenario for category: satire"
6996
  }
6997
  },
6998
  {
@@ -7448,37 +7457,43 @@
7448
  "category": "audit_new_account",
7449
  "content_item": {
7450
  "post_id": "p_63137",
7451
- "text": "Just joined! Here's a link to my website with great deals",
7452
- "author_id": "user_gamma_883",
7453
  "community": "travel",
7454
  "timestamp": "2026-03-10T08:04:00Z",
7455
- "media_type": "text",
7456
- "media_description": null
7457
  },
7458
  "trigger_info": {
 
 
7459
  "report_categories": [],
7460
  "sample_report_reason": null,
7461
  "original_decision": null,
7462
  "appeal_text": null,
7463
- "audit_reason": "new_account_high_activity",
7464
- "trigger_type": "proactive_audit"
7465
  },
7466
  "available_context": {
7467
  "author_profile": {
7468
- "bio": "Full-time dreamer",
7469
- "account_age_days": 854,
7470
- "follower_count": 4170,
7471
- "post_count": 145,
7472
  "communities": [
7473
- "crypto",
7474
- "tech",
7475
- "music",
7476
- "travel"
7477
  ]
7478
  },
7479
- "author_violations": [],
 
 
 
 
 
 
 
7480
  "thread_context": null,
7481
- "community_rules": "Standard community guidelines apply.",
7482
  "linked_content_summary": null,
7483
  "similar_precedents": null,
7484
  "reporter_credibility": null
@@ -7496,7 +7511,7 @@
7496
  "author_profile",
7497
  "author_violations"
7498
  ],
7499
- "explanation": "Generated scenario for category: audit_new_account"
7500
  }
7501
  },
7502
  {
@@ -7505,37 +7520,43 @@
7505
  "category": "audit_new_account",
7506
  "content_item": {
7507
  "post_id": "p_67423",
7508
- "text": "New here but wanted to share this amazing opportunity",
7509
- "author_id": "veteran_235",
7510
  "community": "photography",
7511
  "timestamp": "2026-03-07T19:18:00Z",
7512
- "media_type": "text",
7513
- "media_description": null
7514
  },
7515
  "trigger_info": {
 
 
7516
  "report_categories": [],
7517
  "sample_report_reason": null,
7518
  "original_decision": null,
7519
  "appeal_text": null,
7520
- "audit_reason": "new_account_high_activity",
7521
- "trigger_type": "proactive_audit"
7522
  },
7523
  "available_context": {
7524
  "author_profile": {
7525
- "bio": "Music lover",
7526
- "account_age_days": 878,
7527
- "follower_count": 931,
7528
- "post_count": 841,
7529
  "communities": [
7530
- "politics",
7531
- "music",
7532
- "health",
7533
- "crypto"
7534
  ]
7535
  },
7536
- "author_violations": [],
 
 
 
 
 
 
 
7537
  "thread_context": null,
7538
- "community_rules": "Standard community guidelines apply.",
7539
  "linked_content_summary": null,
7540
  "similar_precedents": null,
7541
  "reporter_credibility": null
@@ -7553,7 +7574,7 @@
7553
  "author_profile",
7554
  "author_violations"
7555
  ],
7556
- "explanation": "Generated scenario for category: audit_new_account"
7557
  }
7558
  },
7559
  {
 
6744
  "category": "coded_hate",
6745
  "content_item": {
6746
  "post_id": "p_61801",
6747
+ "text": "You can usually predict how these decisions go once you check the contributor's 'early life' section.",
6748
+ "author_id": "stacktrace_patriot_974",
6749
  "community": "tech",
6750
  "timestamp": "2026-02-20T01:54:00Z",
6751
  "media_type": "text",
6752
  "media_description": null
6753
  },
6754
  "trigger_info": {
6755
+ "trigger_type": "proactive_audit",
6756
+ "audit_reason": "high_risk_user_sample",
6757
  "report_categories": [],
6758
  "sample_report_reason": null,
6759
  "original_decision": null,
6760
  "appeal_text": null,
6761
+ "auto_flag_reason": null
 
6762
  },
6763
  "available_context": {
6764
  "author_profile": {
6765
+ "bio": "Open-source maximalist | policy skeptic",
6766
  "account_age_days": 599,
6767
  "follower_count": 1480,
6768
  "post_count": 516,
6769
  "communities": [
6770
+ "tech",
6771
+ "startups",
6772
+ "politics"
 
6773
  ]
6774
  },
6775
+ "author_violations": [
6776
+ {
6777
+ "type": "coded_hate",
6778
+ "date": "2026-01-18",
6779
+ "severity": "low",
6780
+ "notes": "Warned for using insinuating dogwhistle phrasing about who controls institutions."
6781
+ }
6782
+ ],
6783
  "thread_context": null,
6784
+ "community_rules": "Tech communities prohibit coded attacks on protected groups even when phrased as insinuation or in-group slang.",
6785
  "linked_content_summary": null,
6786
  "similar_precedents": [
6787
  {
6788
+ "post": "Check the early life section before you act surprised by the moderation outcome.",
6789
  "decision": "warn",
6790
+ "reason": "Dogwhistle implication about ethnic background without explicit slur."
6791
  },
6792
  {
6793
+ "post": "The usual network is in charge again if you know where to look.",
6794
  "decision": "warn",
6795
+ "reason": "Coded hate indicator with ambiguity but clear prejudicial insinuation."
6796
  }
6797
  ],
6798
  "reporter_credibility": null
 
6809
  "author_violations",
6810
  "similar_precedents"
6811
  ],
6812
+ "explanation": "The surface text is euphemistic rather than explicit, so context matters. Prior coded-language history and similar precedents make this a warn-level coded hate case rather than harmless commentary."
6813
  }
6814
  },
6815
  {
 
6951
  "category": "satire",
6952
  "content_item": {
6953
  "post_id": "p_97841",
6954
+ "text": "BREAKING: Ministry proposes a mandatory optimism credit for citizens who smile on public transit.",
6955
+ "author_id": "ironyledger_202",
6956
  "community": "politics",
6957
  "timestamp": "2026-03-08T16:12:00Z",
6958
+ "media_type": "text+link",
6959
+ "media_description": "Link to a satirical article styled like a policy news post"
6960
  },
6961
  "trigger_info": {
6962
+ "trigger_type": "user_report",
6963
+ "report_count": 20,
6964
  "report_categories": [
6965
  "misinformation"
6966
  ],
6967
+ "sample_report_reason": "People are sharing this as if it is a real policy announcement",
6968
  "original_decision": null,
6969
  "appeal_text": null,
6970
  "audit_reason": null,
6971
+ "auto_flag_reason": null
 
6972
  },
6973
  "available_context": {
6974
  "author_profile": {
6975
+ "bio": "Staff writer at The Irony Ledger | satire and civic parody",
6976
  "account_age_days": 669,
6977
  "follower_count": 4538,
6978
  "post_count": 1886,
6979
  "communities": [
6980
+ "politics",
6981
+ "satire",
6982
+ "newsparody"
6983
  ]
6984
  },
6985
  "author_violations": [],
6986
  "thread_context": null,
6987
+ "community_rules": "Political discussion allows satire and parody when context or source makes the framing discoverable on inspection.",
6988
+ "linked_content_summary": "The linked article is from The Irony Ledger, whose masthead, about page, and footer all label it as satire. The article exaggerates a fictional policy proposal for comedic effect.",
6989
  "similar_precedents": null,
6990
  "reporter_credibility": null
6991
  },
 
7001
  "linked_content_summary",
7002
  "author_profile"
7003
  ],
7004
+ "explanation": "The headline is intentionally plausible enough to trigger misinformation reports, but inspection of the linked source and author context shows it is satire. The correct decision is to approve it rather than treat it as factual misinformation."
7005
  }
7006
  },
7007
  {
 
7457
  "category": "audit_new_account",
7458
  "content_item": {
7459
  "post_id": "p_63137",
7460
+ "text": "Just got to Lisbon and put together a page with hostel discounts, airport transfers, and eSIM deals if anyone wants it.",
7461
+ "author_id": "cityhop_883",
7462
  "community": "travel",
7463
  "timestamp": "2026-03-10T08:04:00Z",
7464
+ "media_type": "text+link",
7465
+ "media_description": "Link to a personal travel-deals landing page"
7466
  },
7467
  "trigger_info": {
7468
+ "trigger_type": "proactive_audit",
7469
+ "audit_reason": "new_account_high_activity",
7470
  "report_categories": [],
7471
  "sample_report_reason": null,
7472
  "original_decision": null,
7473
  "appeal_text": null,
7474
+ "auto_flag_reason": null
 
7475
  },
7476
  "available_context": {
7477
  "author_profile": {
7478
+ "bio": "New backpacking account | posting Europe budget tips",
7479
+ "account_age_days": 2,
7480
+ "follower_count": 8,
7481
+ "post_count": 11,
7482
  "communities": [
7483
+ "travel",
7484
+ "budgettravel"
 
 
7485
  ]
7486
  },
7487
+ "author_violations": [
7488
+ {
7489
+ "type": "spam",
7490
+ "date": "2026-03-09",
7491
+ "severity": "low",
7492
+ "notes": "Two identical deal-link posts removed from adjacent travel communities during the same onboarding burst."
7493
+ }
7494
+ ],
7495
  "thread_context": null,
7496
+ "community_rules": "Travel communities allow firsthand recommendations but prohibit affiliate spam, copied landing pages, and rapid cross-post promotion from new accounts.",
7497
  "linked_content_summary": null,
7498
  "similar_precedents": null,
7499
  "reporter_credibility": null
 
7511
  "author_profile",
7512
  "author_violations"
7513
  ],
7514
+ "explanation": "The surface post could be a genuine travel tip, but the account is brand new and already tied to removed cross-post promo activity. Escalation is appropriate because the case is suspicious and account-level review matters more than a text-only judgment."
7515
  }
7516
  },
7517
  {
 
7520
  "category": "audit_new_account",
7521
  "content_item": {
7522
  "post_id": "p_67423",
7523
+ "text": "New here, but I made a page bundling my night-photo presets, referral codes, and camera-bag deals in one place if it helps anyone.",
7524
+ "author_id": "shutterdrop_235",
7525
  "community": "photography",
7526
  "timestamp": "2026-03-07T19:18:00Z",
7527
+ "media_type": "text+link",
7528
+ "media_description": "Link to a preset and affiliate-link landing page"
7529
  },
7530
  "trigger_info": {
7531
+ "trigger_type": "proactive_audit",
7532
+ "audit_reason": "new_account_high_activity",
7533
  "report_categories": [],
7534
  "sample_report_reason": null,
7535
  "original_decision": null,
7536
  "appeal_text": null,
7537
+ "auto_flag_reason": null
 
7538
  },
7539
  "available_context": {
7540
  "author_profile": {
7541
+ "bio": "Brand-new street-photography account",
7542
+ "account_age_days": 1,
7543
+ "follower_count": 3,
7544
+ "post_count": 9,
7545
  "communities": [
7546
+ "photography",
7547
+ "streetphotography"
 
 
7548
  ]
7549
  },
7550
+ "author_violations": [
7551
+ {
7552
+ "type": "spam",
7553
+ "date": "2026-03-07",
7554
+ "severity": "low",
7555
+ "notes": "Moderator note for posting near-identical affiliate landing pages across gear and editing communities within hours of account creation."
7556
+ }
7557
+ ],
7558
  "thread_context": null,
7559
+ "community_rules": "Photography communities allow sharing original work and honest gear advice, but mass affiliate promotion from new accounts is escalated for review.",
7560
  "linked_content_summary": null,
7561
  "similar_precedents": null,
7562
  "reporter_credibility": null
 
7574
  "author_profile",
7575
  "author_violations"
7576
  ],
7577
+ "explanation": "The post is borderline because it could be framed as a helpful resource drop, but the one-day-old account and same-day affiliate pattern make it suspicious. Escalation is the correct choice rather than immediate approval or removal."
7578
  }
7579
  },
7580
  {
server/data/scenarios_medium.json CHANGED
@@ -7907,51 +7907,55 @@
7907
  "category": "repeat_offender",
7908
  "content_item": {
7909
  "post_id": "p_97156",
7910
- "text": "Check out my new product! Use code SALE20 for 20% off",
7911
- "author_id": "user_theta_557",
7912
- "community": "movies",
7913
  "timestamp": "2026-03-02T16:14:00Z",
7914
- "media_type": "text",
7915
- "media_description": null
7916
  },
7917
  "trigger_info": {
 
 
7918
  "report_categories": [],
7919
  "sample_report_reason": null,
7920
  "original_decision": null,
7921
  "appeal_text": null,
7922
- "audit_reason": null,
7923
- "trigger_type": "auto_flag",
7924
- "auto_flag_reason": "spam_score: 0.6"
7925
  },
7926
  "available_context": {
7927
  "author_profile": {
7928
- "bio": "Travel junkie",
7929
- "account_age_days": 924,
7930
- "follower_count": 2419,
7931
- "post_count": 1738,
7932
  "communities": [
7933
- "sports"
 
7934
  ]
7935
  },
7936
  "author_violations": [
7937
  {
7938
  "type": "spam",
7939
  "date": "2026-03-01",
7940
- "severity": "medium"
 
7941
  },
7942
  {
7943
  "type": "spam",
7944
- "date": "2026-02-15",
7945
- "severity": "low"
 
7946
  },
7947
  {
7948
  "type": "spam",
7949
- "date": "2026-02-01",
7950
- "severity": "low"
 
7951
  }
7952
  ],
7953
  "thread_context": null,
7954
- "community_rules": "Standard community guidelines apply.",
7955
  "linked_content_summary": null,
7956
  "similar_precedents": null,
7957
  "reporter_credibility": null
@@ -7967,7 +7971,7 @@
7967
  "context_needed": [
7968
  "author_violations"
7969
  ],
7970
- "explanation": "Generated scenario for category: repeat_offender"
7971
  }
7972
  },
7973
  {
@@ -7976,53 +7980,55 @@
7976
  "category": "repeat_offender",
7977
  "content_item": {
7978
  "post_id": "p_99874",
7979
- "text": "Just launched my course, link in bio!",
7980
- "author_id": "dev_ops_440",
7981
- "community": "food",
7982
  "timestamp": "2026-03-02T23:21:00Z",
7983
- "media_type": "text",
7984
- "media_description": null
7985
  },
7986
  "trigger_info": {
 
 
7987
  "report_categories": [],
7988
  "sample_report_reason": null,
7989
  "original_decision": null,
7990
  "appeal_text": null,
7991
- "audit_reason": null,
7992
- "trigger_type": "auto_flag",
7993
- "auto_flag_reason": "spam_score: 0.6"
7994
  },
7995
  "available_context": {
7996
  "author_profile": {
7997
- "bio": "Building cool stuff",
7998
- "account_age_days": 842,
7999
- "follower_count": 3662,
8000
- "post_count": 533,
8001
  "communities": [
8002
- "news",
8003
- "askexperts",
8004
- "memes"
8005
  ]
8006
  },
8007
  "author_violations": [
8008
  {
8009
  "type": "spam",
8010
  "date": "2026-03-01",
8011
- "severity": "medium"
 
8012
  },
8013
  {
8014
  "type": "spam",
8015
- "date": "2026-02-15",
8016
- "severity": "low"
 
8017
  },
8018
  {
8019
  "type": "spam",
8020
- "date": "2026-02-01",
8021
- "severity": "low"
 
8022
  }
8023
  ],
8024
  "thread_context": null,
8025
- "community_rules": "Standard community guidelines apply.",
8026
  "linked_content_summary": null,
8027
  "similar_precedents": null,
8028
  "reporter_credibility": null
@@ -8038,7 +8044,7 @@
8038
  "context_needed": [
8039
  "author_violations"
8040
  ],
8041
- "explanation": "Generated scenario for category: repeat_offender"
8042
  }
8043
  },
8044
  {
@@ -8047,53 +8053,55 @@
8047
  "category": "repeat_offender",
8048
  "content_item": {
8049
  "post_id": "p_41935",
8050
- "text": "My new ebook is out, grab it while it's hot",
8051
- "author_id": "ml_expert_173",
8052
- "community": "askexperts",
8053
  "timestamp": "2026-02-15T22:59:00Z",
8054
- "media_type": "text",
8055
- "media_description": null
8056
  },
8057
  "trigger_info": {
 
 
8058
  "report_categories": [],
8059
  "sample_report_reason": null,
8060
  "original_decision": null,
8061
  "appeal_text": null,
8062
- "audit_reason": null,
8063
- "trigger_type": "auto_flag",
8064
- "auto_flag_reason": "spam_score: 0.6"
8065
  },
8066
  "available_context": {
8067
  "author_profile": {
8068
- "bio": "Travel junkie",
8069
- "account_age_days": 127,
8070
- "follower_count": 2141,
8071
- "post_count": 989,
8072
  "communities": [
8073
- "wholesome",
8074
- "finance",
8075
- "memes"
8076
  ]
8077
  },
8078
  "author_violations": [
8079
  {
8080
  "type": "spam",
8081
  "date": "2026-03-01",
8082
- "severity": "medium"
 
8083
  },
8084
  {
8085
  "type": "spam",
8086
- "date": "2026-02-15",
8087
- "severity": "low"
 
8088
  },
8089
  {
8090
  "type": "spam",
8091
- "date": "2026-02-01",
8092
- "severity": "low"
 
8093
  }
8094
  ],
8095
  "thread_context": null,
8096
- "community_rules": "Standard community guidelines apply.",
8097
  "linked_content_summary": null,
8098
  "similar_precedents": null,
8099
  "reporter_credibility": null
@@ -8109,7 +8117,7 @@
8109
  "context_needed": [
8110
  "author_violations"
8111
  ],
8112
- "explanation": "Generated scenario for category: repeat_offender"
8113
  }
8114
  },
8115
  {
@@ -8449,33 +8457,31 @@
8449
  "category": "medical_content",
8450
  "content_item": {
8451
  "post_id": "p_44682",
8452
- "text": "Here's my experience with medication side effects [detailed medical info]",
8453
- "author_id": "casual_user_686",
8454
- "community": "movies",
8455
  "timestamp": "2026-02-16T18:18:00Z",
8456
  "media_type": "text",
8457
  "media_description": null
8458
  },
8459
  "trigger_info": {
 
 
8460
  "report_categories": [],
8461
  "sample_report_reason": null,
8462
  "original_decision": null,
8463
  "appeal_text": null,
8464
- "audit_reason": null,
8465
- "trigger_type": "auto_flag",
8466
- "auto_flag_reason": "medical_content_detected"
8467
  },
8468
  "available_context": {
8469
  "author_profile": {
8470
- "bio": "Critical thinker",
8471
  "account_age_days": 456,
8472
- "follower_count": 2110,
8473
- "post_count": 214,
8474
  "communities": [
8475
- "music",
8476
- "todayilearned",
8477
- "art",
8478
- "finance"
8479
  ]
8480
  },
8481
  "author_violations": [],
@@ -8497,7 +8503,7 @@
8497
  "context_needed": [
8498
  "community_rules"
8499
  ],
8500
- "explanation": "Generated scenario for category: medical_content"
8501
  }
8502
  },
8503
  {
@@ -8506,36 +8512,38 @@
8506
  "category": "medical_content",
8507
  "content_item": {
8508
  "post_id": "p_92842",
8509
- "text": "Sharing my surgery recovery journey with photos",
8510
- "author_id": "ai_master_186",
8511
- "community": "fashion",
8512
  "timestamp": "2026-02-28T21:05:00Z",
8513
- "media_type": "text",
8514
- "media_description": null
8515
  },
8516
  "trigger_info": {
8517
- "report_categories": [],
8518
- "sample_report_reason": null,
 
 
 
 
8519
  "original_decision": null,
8520
  "appeal_text": null,
8521
- "audit_reason": null,
8522
- "trigger_type": "auto_flag",
8523
- "auto_flag_reason": "medical_content_detected"
8524
  },
8525
  "available_context": {
8526
  "author_profile": {
8527
- "bio": "Part-time troll",
8528
  "account_age_days": 823,
8529
- "follower_count": 3443,
8530
- "post_count": 1388,
8531
  "communities": [
8532
- "tech",
8533
- "memes"
8534
  ]
8535
  },
8536
  "author_violations": [],
8537
  "thread_context": null,
8538
- "community_rules": "Health communities allow first-person recovery stories and educational medical content, but prohibit personalized diagnosis, direct dosage instructions, or advice that overrides a clinician.",
8539
  "linked_content_summary": null,
8540
  "similar_precedents": null,
8541
  "reporter_credibility": null
@@ -8552,7 +8560,7 @@
8552
  "context_needed": [
8553
  "community_rules"
8554
  ],
8555
- "explanation": "Generated scenario for category: medical_content"
8556
  }
8557
  },
8558
  {
@@ -9183,33 +9191,34 @@
9183
  "category": "trusted_borderline",
9184
  "content_item": {
9185
  "post_id": "p_91512",
9186
- "text": "This is ridiculous, I can't believe the mods allow this garbage",
9187
- "author_id": "tech_guru_150",
9188
  "community": "books",
9189
  "timestamp": "2026-03-14T22:30:00Z",
9190
  "media_type": "text",
9191
  "media_description": null
9192
  },
9193
  "trigger_info": {
 
 
9194
  "report_categories": [
9195
  "toxicity"
9196
  ],
9197
- "sample_report_reason": null,
9198
  "original_decision": null,
9199
  "appeal_text": null,
9200
- "audit_reason": null,
9201
- "trigger_type": "user_report",
9202
- "report_count": 3
9203
  },
9204
  "available_context": {
9205
  "author_profile": {
9206
- "bio": "Critical thinker",
9207
- "account_age_days": 552,
9208
- "follower_count": 350,
9209
- "post_count": 470,
9210
  "communities": [
9211
- "gaming",
9212
- "travel"
 
9213
  ]
9214
  },
9215
  "author_violations": [],
@@ -9230,7 +9239,7 @@
9230
  "context_needed": [
9231
  "author_profile"
9232
  ],
9233
- "explanation": "Generated scenario for category: trusted_borderline"
9234
  }
9235
  },
9236
  {
 
7907
  "category": "repeat_offender",
7908
  "content_item": {
7909
  "post_id": "p_97156",
7910
+ "text": "Built a tiny browser extension that color-codes Jira tickets. Free beta link here if anyone wants to try it.",
7911
+ "author_id": "buildinpublic_557",
7912
+ "community": "productivity",
7913
  "timestamp": "2026-03-02T16:14:00Z",
7914
+ "media_type": "text+link",
7915
+ "media_description": "Promotional post linking to the author's own product page"
7916
  },
7917
  "trigger_info": {
7918
+ "trigger_type": "auto_flag",
7919
+ "auto_flag_reason": "spam_score: 0.6",
7920
  "report_categories": [],
7921
  "sample_report_reason": null,
7922
  "original_decision": null,
7923
  "appeal_text": null,
7924
+ "audit_reason": null
 
 
7925
  },
7926
  "available_context": {
7927
  "author_profile": {
7928
+ "bio": "Solo dev shipping tiny workflow tools",
7929
+ "account_age_days": 540,
7930
+ "follower_count": 980,
7931
+ "post_count": 233,
7932
  "communities": [
7933
+ "productivity",
7934
+ "buildinpublic"
7935
  ]
7936
  },
7937
  "author_violations": [
7938
  {
7939
  "type": "spam",
7940
  "date": "2026-03-01",
7941
+ "severity": "medium",
7942
+ "notes": "Previous borderline launch post removed after moderator warning."
7943
  },
7944
  {
7945
  "type": "spam",
7946
+ "date": "2026-02-18",
7947
+ "severity": "low",
7948
+ "notes": "Cross-posted the same launch link across multiple communities."
7949
  },
7950
  {
7951
  "type": "spam",
7952
+ "date": "2026-02-05",
7953
+ "severity": "low",
7954
+ "notes": "Repeated self-promotion after being directed to community promo thread."
7955
  }
7956
  ],
7957
  "thread_context": null,
7958
+ "community_rules": "Productivity communities allow occasional resource sharing, but repeated self-promotion and launch spam are prohibited.",
7959
  "linked_content_summary": null,
7960
  "similar_precedents": null,
7961
  "reporter_credibility": null
 
7971
  "context_needed": [
7972
  "author_violations"
7973
  ],
7974
+ "explanation": "The surface post is plausibly useful and not an instant removal on text alone. The author's repeated prior self-promotional violations make this a repeat-offender spam case, so the correct move is to request violation history and remove it."
7975
  }
7976
  },
7977
  {
 
7980
  "category": "repeat_offender",
7981
  "content_item": {
7982
  "post_id": "p_99874",
7983
+ "text": "Turned my interview spreadsheet into a short paid guide. Posting the launch link in case it helps job seekers here.",
7984
+ "author_id": "resumebuilder_440",
7985
+ "community": "careers",
7986
  "timestamp": "2026-03-02T23:21:00Z",
7987
+ "media_type": "text+link",
7988
+ "media_description": "Promotional post linking to the author's own product page"
7989
  },
7990
  "trigger_info": {
7991
+ "trigger_type": "auto_flag",
7992
+ "auto_flag_reason": "spam_score: 0.6",
7993
  "report_categories": [],
7994
  "sample_report_reason": null,
7995
  "original_decision": null,
7996
  "appeal_text": null,
7997
+ "audit_reason": null
 
 
7998
  },
7999
  "available_context": {
8000
  "author_profile": {
8001
+ "bio": "Career coach | Hiring manager notes",
8002
+ "account_age_days": 870,
8003
+ "follower_count": 1840,
8004
+ "post_count": 401,
8005
  "communities": [
8006
+ "careers",
8007
+ "jobsearch"
 
8008
  ]
8009
  },
8010
  "author_violations": [
8011
  {
8012
  "type": "spam",
8013
  "date": "2026-03-01",
8014
+ "severity": "medium",
8015
+ "notes": "Previous paid guide self-promo removed after moderator warning."
8016
  },
8017
  {
8018
  "type": "spam",
8019
+ "date": "2026-02-18",
8020
+ "severity": "low",
8021
+ "notes": "Cross-posted the same launch link across multiple communities."
8022
  },
8023
  {
8024
  "type": "spam",
8025
+ "date": "2026-02-05",
8026
+ "severity": "low",
8027
+ "notes": "Repeated self-promotion after being directed to community promo thread."
8028
  }
8029
  ],
8030
  "thread_context": null,
8031
+ "community_rules": "Careers communities allow occasional resource sharing, but repeated self-promotion and launch spam are prohibited.",
8032
  "linked_content_summary": null,
8033
  "similar_precedents": null,
8034
  "reporter_credibility": null
 
8044
  "context_needed": [
8045
  "author_violations"
8046
  ],
8047
+ "explanation": "The surface post is plausibly useful and not an instant removal on text alone. The author's repeated prior self-promotional violations make this a repeat-offender spam case, so the correct move is to request violation history and remove it."
8048
  }
8049
  },
8050
  {
 
8053
  "category": "repeat_offender",
8054
  "content_item": {
8055
  "post_id": "p_41935",
8056
+ "text": "Compiled my freelance pitching lessons into a small ebook. Sharing the release link for anyone stuck finding first clients.",
8057
+ "author_id": "pitchcraft_173",
8058
+ "community": "writing",
8059
  "timestamp": "2026-02-15T22:59:00Z",
8060
+ "media_type": "text+link",
8061
+ "media_description": "Promotional post linking to the author's own product page"
8062
  },
8063
  "trigger_info": {
8064
+ "trigger_type": "auto_flag",
8065
+ "auto_flag_reason": "spam_score: 0.6",
8066
  "report_categories": [],
8067
  "sample_report_reason": null,
8068
  "original_decision": null,
8069
  "appeal_text": null,
8070
+ "audit_reason": null
 
 
8071
  },
8072
  "available_context": {
8073
  "author_profile": {
8074
+ "bio": "Freelance editor and writing mentor",
8075
+ "account_age_days": 612,
8076
+ "follower_count": 1260,
8077
+ "post_count": 317,
8078
  "communities": [
8079
+ "writing",
8080
+ "freelance"
 
8081
  ]
8082
  },
8083
  "author_violations": [
8084
  {
8085
  "type": "spam",
8086
  "date": "2026-03-01",
8087
+ "severity": "medium",
8088
+ "notes": "Previous ebook self-promo removed after moderator warning."
8089
  },
8090
  {
8091
  "type": "spam",
8092
+ "date": "2026-02-18",
8093
+ "severity": "low",
8094
+ "notes": "Cross-posted the same launch link across multiple communities."
8095
  },
8096
  {
8097
  "type": "spam",
8098
+ "date": "2026-02-05",
8099
+ "severity": "low",
8100
+ "notes": "Repeated self-promotion after being directed to community promo thread."
8101
  }
8102
  ],
8103
  "thread_context": null,
8104
+ "community_rules": "Writing communities allow occasional resource sharing, but repeated self-promotion and launch spam are prohibited.",
8105
  "linked_content_summary": null,
8106
  "similar_precedents": null,
8107
  "reporter_credibility": null
 
8117
  "context_needed": [
8118
  "author_violations"
8119
  ],
8120
+ "explanation": "The surface post is plausibly useful and not an instant removal on text alone. The author's repeated prior self-promotional violations make this a repeat-offender spam case, so the correct move is to request violation history and remove it."
8121
  }
8122
  },
8123
  {
 
8457
  "category": "medical_content",
8458
  "content_item": {
8459
  "post_id": "p_44682",
8460
+ "text": "Week three on sertraline and the nausea finally eased up. Posting the symptom timeline that helped me stay calm.",
8461
+ "author_id": "recoverylog_686",
8462
+ "community": "health",
8463
  "timestamp": "2026-02-16T18:18:00Z",
8464
  "media_type": "text",
8465
  "media_description": null
8466
  },
8467
  "trigger_info": {
8468
+ "trigger_type": "auto_flag",
8469
+ "auto_flag_reason": "medical_content_detected",
8470
  "report_categories": [],
8471
  "sample_report_reason": null,
8472
  "original_decision": null,
8473
  "appeal_text": null,
8474
+ "audit_reason": null
 
 
8475
  },
8476
  "available_context": {
8477
  "author_profile": {
8478
+ "bio": "Anxiety-recovery journal | not a clinician",
8479
  "account_age_days": 456,
8480
+ "follower_count": 211,
8481
+ "post_count": 84,
8482
  "communities": [
8483
+ "health",
8484
+ "mentalhealth"
 
 
8485
  ]
8486
  },
8487
  "author_violations": [],
 
8503
  "context_needed": [
8504
  "community_rules"
8505
  ],
8506
+ "explanation": "The post describes the author's own medication side effects and recovery timeline without instructing others to change treatment. Community rules make this permissible first-person medical context rather than harmful advice."
8507
  }
8508
  },
8509
  {
 
8512
  "category": "medical_content",
8513
  "content_item": {
8514
  "post_id": "p_92842",
8515
+ "text": "Posting day-by-day photos from my ACL surgery recovery because a few people asked what the swelling looked like after week one.",
8516
+ "author_id": "acljournal_186",
8517
+ "community": "surgeryrecovery",
8518
  "timestamp": "2026-02-28T21:05:00Z",
8519
+ "media_type": "text+image",
8520
+ "media_description": "Recovery photos documenting bruising and swelling after knee surgery"
8521
  },
8522
  "trigger_info": {
8523
+ "trigger_type": "auto_flag",
8524
+ "auto_flag_reason": "medical_content_detected",
8525
+ "report_categories": [
8526
+ "graphic_content"
8527
+ ],
8528
+ "sample_report_reason": "Graphic medical recovery photos",
8529
  "original_decision": null,
8530
  "appeal_text": null,
8531
+ "audit_reason": null
 
 
8532
  },
8533
  "available_context": {
8534
  "author_profile": {
8535
+ "bio": "Physical therapy patient sharing recovery milestones",
8536
  "account_age_days": 823,
8537
+ "follower_count": 344,
8538
+ "post_count": 128,
8539
  "communities": [
8540
+ "surgeryrecovery",
8541
+ "physicaltherapy"
8542
  ]
8543
  },
8544
  "author_violations": [],
8545
  "thread_context": null,
8546
+ "community_rules": "Recovery communities allow medically relevant photos when clearly educational or support-oriented, but prohibit shock posting and gore without context.",
8547
  "linked_content_summary": null,
8548
  "similar_precedents": null,
8549
  "reporter_credibility": null
 
8560
  "context_needed": [
8561
  "community_rules"
8562
  ],
8563
+ "explanation": "The post shares recovery images in a support context for others undergoing similar surgery. Because the content is educational and community-specific rather than gratuitous, the correct decision is to approve it after checking the community rules."
8564
  }
8565
  },
8566
  {
 
9191
  "category": "trusted_borderline",
9192
  "content_item": {
9193
  "post_id": "p_91512",
9194
+ "text": "If you are going to post beginner questions, at least read the pinned guide before dumping this garbage on the feed.",
9195
+ "author_id": "archivist_150",
9196
  "community": "books",
9197
  "timestamp": "2026-03-14T22:30:00Z",
9198
  "media_type": "text",
9199
  "media_description": null
9200
  },
9201
  "trigger_info": {
9202
+ "trigger_type": "user_report",
9203
+ "report_count": 3,
9204
  "report_categories": [
9205
  "toxicity"
9206
  ],
9207
+ "sample_report_reason": "Needlessly hostile reply to a new member",
9208
  "original_decision": null,
9209
  "appeal_text": null,
9210
+ "audit_reason": null
 
 
9211
  },
9212
  "available_context": {
9213
  "author_profile": {
9214
+ "bio": "Volunteer reading-list curator | answers newbie threads every week",
9215
+ "account_age_days": 1640,
9216
+ "follower_count": 2860,
9217
+ "post_count": 4210,
9218
  "communities": [
9219
+ "books",
9220
+ "literature",
9221
+ "reading"
9222
  ]
9223
  },
9224
  "author_violations": [],
 
9239
  "context_needed": [
9240
  "author_profile"
9241
  ],
9242
+ "explanation": "The speaker is a trusted contributor, which makes the boundary-setting context relevant, but the phrasing still becomes dismissive and insulting. A warning is appropriate because it is low-severity toxicity rather than a removal-level attack."
9243
  }
9244
  },
9245
  {