CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit

• URL: http://arxiv.org/abs/2410.12061v2
• Date: Sat, 26 Oct 2024 20:27:22 GMT
• Title: CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit
• Authors: Ashwin Ram, Yigit Ege Bayiz, Arash Amini, Mustafa Munir, Radu Marculescu,
• Abstract summary: We present CrediRAG, the first fake news detection model that combines language models with access to a rich external political knowledge base. CrediRAG uses a news retriever to initially assign a misinformation score to each post based on the source credibility of similar news articles to the post title content. We achieve 11% increase in the F1-score in detecting misinformative posts over state-of-the-art methods.
• Score: 18.974778179375463
• License:
• Abstract: Fake news threatens democracy and exacerbates the polarization and divisions in society; therefore, accurately detecting online misinformation is the foundation of addressing this issue. We present CrediRAG, the first fake news detection model that combines language models with access to a rich external political knowledge base with a dense social network to detect fake news across social media at scale. CrediRAG uses a news retriever to initially assign a misinformation score to each post based on the source credibility of similar news articles to the post title content. CrediRAG then improves the initial retrieval estimations through a novel weighted post-to-post network connected based on shared commenters and weighted by the average stance of all shared commenters across every pair of posts. We achieve 11% increase in the F1-score in detecting misinformative posts over state-of-the-art methods. Extensive experiments conducted on curated real-world Reddit data of over 200,000 posts demonstrate the superior performance of CrediRAG on existing baselines. Thus, our approach offers a more accurate and scalable solution to combat the spread of fake news across social media platforms.

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