RAWFC

Dataset Information
Introduced
2022
License
Apache-2.0 license
Homepage

Overview

For RAWFC, we constructed it from scratch by collecting the claims from Snopes and relevant raw reports by retrieving claim keywords. To alleviate the dependency of fact-checked reports, RAWFC was constructed by using raw reports (from scratch), where gold labels refer to Snopes. Each instance in the train/val/test set is presented as a signle file.

Provide:

  • A novel benchmark dataset for explainable fake news detection

Variants: LIAR

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Fake News Detection HiSS Towards LLM-based Fact Verification on … 2023-09-30
Fake News Detection ReAct Towards LLM-based Fact Verification on … 2023-09-30
Fake News Detection Standard prompting with articles Towards LLM-based Fact Verification on … 2023-09-30
Fake News Detection CoT Towards LLM-based Fact Verification on … 2023-09-30
Fake News Detection Persuasive Writing Strategy Using Persuasive Writing Strategies to … 2022-11-11
Fake News Detection CofCED A Coarse-to-fine Cascaded Evidence-Distillation Neural … 2022-09-29

Research Papers

Recent papers with results on this dataset: