oraccc/Improving-Rumor-Detection-with-User-Comments
Source Code for TrustCom2022 Accepted Paper " 'Comments Matter and The More The Better': Improving Rumor Detecion with User Comments".
This project helps social media analysts and misinformation researchers identify rumors in online discussions. It takes original posts and their associated user comments from platforms like Twitter and Weibo, and processes them to determine whether the post is a rumor or not. The output is a clear "rumor" or "non-rumor" classification for each post, aiding in content moderation and trend analysis.
No commits in the last 6 months.
Use this if you need to automatically and accurately classify social media posts as rumors or non-rumors, especially when user comments are available and provide crucial context.
Not ideal if your primary interest is in detecting rumors in short, isolated texts without any accompanying discussion or comments.
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Language
Jupyter Notebook
License
MIT
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Last pushed
May 23, 2023
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