faiazrahman/Multimodal-Fake-News-Detection
Multi-Modal Fine-Grained Fake News Detection with Dialogue Summarization
This project helps researchers and data scientists working with social media content to detect fake news more accurately. It takes posts, including their text, associated images, and user comments (dialogue), to determine if the content is misleading. The output is a classification of the content as fake or real, potentially with fine-grained categories, helping identify and analyze misinformation.
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Use this if you are a researcher or data scientist investigating the effectiveness of multimodal approaches, especially including user dialogue, for fake news detection.
Not ideal if you are looking for a ready-to-use application or an API for real-time fake news detection without needing to set up a research-grade experimental environment.
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28
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10
Language
Python
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Last pushed
Apr 07, 2022
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