Method evidence record
Fake News Detection
Fake news detection is a natural-language-processing classification task that assesses the credibility of news text and labels content as fake or genuine. Building on the social-media framing of Shu et al. (2017) and the automated-fact-checking framing of Thorne and Vlachos (2018), it turns unstructured news articles into a supervised credibility decision learned from labelled examples.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Fake News Detection (Misinformation Classification)
Taxonomic method record · process-pipeline / text-mining
- Shu, K. et al. (2017). Fake News Detection on Social Media. ACM SIGKDD. · URL
- Thorne, J. & Vlachos, A. (2018). Automated Fact Checking. COLING. · URL
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