david-yoon/detecting-incongruity
TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19
This project helps news analysts and content moderators identify when a news headline doesn't accurately reflect its article's body text. You input news articles with their headlines and full content, and it outputs a prediction indicating whether the headline is incongruous with the body. This is designed for professionals who need to quickly assess the consistency and trustworthiness of news content.
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Use this if you need to programmatically detect misleading or clickbait headlines by comparing them against the actual article content.
Not ideal if you're looking for a ready-to-use application with a graphical interface for end-users, as this requires technical expertise to set up and run.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 17, 2024
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