metadata
license: cc-by-4.0
task_categories:
- text-classification
language:
- zh
tags:
- fact-checking
- misinformation
size_categories:
- 1K<n<10K
TrendFact
TrendFact is the Chinese fact-checking benchmark from our ACL 2026 paper TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking.
Unlike earlier datasets built mostly on Wikipedia, most claims in TrendFact are drawn from trending platforms, so every sample comes with real dissemination signals. We use it to study a mostly overlooked question: when claims differ in social impact, should — and can — a fact-checking system adapt how much reasoning effort it spends on them? We call this the Hotspot Perception Ability (HPA).
Data
- 7,643 samples across five domains: public health, science, society, politics, and culture
- an evidence library of 366,634 entries
- supports three tasks: evidence retrieval, fact verification, and explanation generation
TrendFact.json
The main data. Each sample has the following fields:
| Field | Description |
|---|---|
claim |
the claim to be verified |
label |
0 = SUPPORT, 1 = REFUTE, 2 = NEI (not enough info) |
evidence |
gold evidence, with text / url / target_idx |
explanation |
human-annotated explanation |
domain |
domain the claim belongs to |
views / Discussion / Engagemen / Post |
four hotspot indicators |
influence_score / final_influence_score |
influence scores |
ori_title / url / date |
original title, source link, and date of the claim |
evidence.parquet
The evidence library, 366,634 entries in total, with fields url / text / publish_date. Used for the evidence retrieval task.
Citation
@inproceedings{zhang2026trendfact,
title={TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking},
author={Zhang, Xiaocheng and Wang, Xi and Lu, Yifei and Wang, Jianing and Ye, Zhuangzhuang and Bao, Mengjiao and Yan, Peng and Su, Xiaohong},
booktitle={Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
pages={26494--26513},
year={2026}
}