chenxwh/fake-news-detection
AAAI ICWSM-2022 Evaluation of Fake News Detection with Knowledge-Enhanced Language Models
This project helps researchers and social media analysts evaluate different methods for identifying fake news. It takes news articles or social media posts and classifies them as true or false, or assigns a nuanced label like "mostly true" or "pants on fire." Those who study misinformation and its spread, or who need to assess the reliability of information at scale, would find this useful.
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Use this if you are a researcher or data scientist looking to compare the performance of various advanced language models for fake news detection on established datasets like LIAR or COVID-19 news.
Not ideal if you are an end-user needing a ready-to-use application to check the veracity of individual news articles directly without a technical setup.
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Python
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Jun 08, 2022
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