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README.md

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+---
+language: multilingual
+license: apache-2.0
+tags:
+- political-bias
+- bias-detection
+- news-analysis
+- xlm-roberta
+pipeline_tag: text-classification
+---
+
+# WorldVue Balanced Political Bias Detector
+
+This model detects political bias in news articles across economic and social dimensions.
+
+## Model Description
+
+- **Architecture**: mDeBERTa-v3-base (278M parameters)
+- **Training Data**: 6,000 articles judged by GPT-4o-mini
+- **Languages**: 100+ (multilingual)
+- **Axes**:
+  - Economic: LEFT (-1) ← CENTER (0) → RIGHT (+1)
+  - Social: LIBERTARIAN (-1) ← CENTER (0) → AUTHORITARIAN (+1)
+
+## Signals Detected
+
+**Economic (4 signals):**
+1. Economic Role of State
+2. Market & Business
+3. Taxation & Spending
+4. Labor & Trade
+
+**Social (4 signals):**
+1. State Authority vs Liberty
+2. Cultural Identity
+3. Immigration & Borders
+4. Collective vs Individual
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModel
+import torch
+import torch.nn as nn
+
+# Load model
+tokenizer = AutoTokenizer.from_pretrained("Xiameineedsgpu/worldvue-balanced-bias-detector")
+# ... (see example code below)
+```
+
+## Training Details
+
+- **Test Loss**: 2.13
+- **Political Articles**: 3,112
+- **Non-Political Articles**: 2,888
+- **Training Time**: ~1 hour on Google Colab (T4 GPU)
+
+## Example Outputs
+
+| Article | Economic | Social | Label |
+|---------|----------|--------|-------|
+| Fox News - Immigration | +0.02 | +0.83 | CENTER / AUTHORITARIAN |
+| Energy Transition | -0.24 | -0.23 | LEFT / LIBERTARIAN |
+| UK PPE Scandal | +0.10 | +0.25 | RIGHT / AUTHORITARIAN |
+
+## License
+
+Apache 2.0