An attention-based rumor detection model with tree-structured recursive neural networks

• Main Authors: MA, Jing, GAO, Wei, JOTY, Shafiq, WONG, Kam-Fai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Rumor detection and classification; social media; propagation tree; recursive neural networks; neural attention; Artificial Intelligence and Robotics; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/5613; https://ink.library.smu.edu.sg/context/sis_research/article/6616/viewcontent/An_Attention_based_Rumor_Detection_Model_with_Tree_structured_Recursive_Neural_Networks__1_.pdf
• Institution: Singapore Management University

Rumor spread in social media severely jeopardizes the credibility of online content. Thus, automatic debunking of rumors is of great importance to keep social media a healthy environment. While facing a dubious claim, people often dispute its truthfulness sporadically in their posts containing vario...