Interpretable rumor detection in microblogs by attending to user interactions
national conference on artificial intelligence, 2020.
We address rumor detection by learning to differentiate between the community's response to real and fake claims in microblogs. Existing state-of-the-art models are based on tree models that model conversational trees. However, in social media, a user posting a reply might be replying to the entire thread rather than to a specific user....More
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