Interpretable rumor detection in microblogs by attending to user interactions

Serena Khoo
Serena Khoo
Zhong Qian
Zhong Qian

national conference on artificial intelligence, 2020.

Cited by: 0|Bibtex|Views52
Other Links: academic.microsoft.com|arxiv.org

Abstract:

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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