Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
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Updated
May 11, 2024
Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
FactNews is the first dataset to predict sentence-level factuality of news reporting. Furthemore, we provide baseline results for sentence-level factuality and media bias predicition in Portuguese. The FactNews is composed of 6,191 annotated sentences by factuality and media bias definitions by AllSides.
https://aletheiafact.org a Crowd-sourced fact checking platform.
💬 Never browse alone again
GraphQL API server for clients like rumors-site and rumors-line-bot
Detecting Deepfakes Without Seeing Any
Development environment for Meedan Check, a collaborative media annotation platform
A service that aggregates fact-checks from various sources and exposes them as Schema.org ClaimReviews. Part of Meedan Check, a collaborative media annotation platform.
AAAI-24 CFEVER: A Chinese Fact Extraction and VERification Dataset
Software for a collaborative fact checking website.
FAVEL: An approach that uses algorithm selection and ensemble learning to amalgamate several existing fact-checking approaches that rely solely on a reference knowledge graph and, hence, use fewer resources than current hybrid approaches.
Line bot that checks if a message contains internet rumor.
A Benchmark Dataset for Multimodal Scientific Fact Checking
Rumors list / creation UI, with server-side rendering
FEAT, short for Factcheck Explorer Analysis Tool, is designed to facilitate the exploration, analysis, and visualization of fact-checking data.
🔎 CaptainFact - Frontend. The one you see on https://captainfact.io
Monorepo for the Howdju crowdsourced fact checking and summarization platform
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
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