DongqiFu/DISCO
DISCO: Comprehensive and Explainable Disinformation Detection, CIKM 2022
This toolkit helps journalists, fact-checkers, and content moderators analyze a batch of news articles to determine their likelihood of being fake or real news. It takes news articles as input and outputs a probability score for fake or real news, along with a ranking of words indicating their misleading degree. This helps users quickly identify and understand the deceptive elements within suspicious content.
No commits in the last 6 months.
Use this if you need to quickly assess the authenticity of news articles and understand which specific words contribute to their misleading nature.
Not ideal if you require real-time, high-volume automated content moderation without human oversight, or if you are analyzing non-textual disinformation like images or videos.
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Language
Python
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Last pushed
May 05, 2023
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