Interpretable rumor detection in microblogs by attending to user interactions

• Main Authors: KHOO, Ling Min Serena, CHIEU, Hai Leong, QIAN, Zhong, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Attention mechanisms; Attention model; Long distance interactions; Social media; State of the art; Structure-aware; Tree structures; User interaction; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5600; https://ink.library.smu.edu.sg/context/sis_research/article/6603/viewcontent/AAAI_2020a.pdf
• Institution: Singapore Management University

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...