All the wiser: Fake news intervention using user reading preferences

• Main Authors: LO, Kuan Chieh, DAI, Shih Chieh, XIONG, Aiping, JIANG, Jing, KU, Lun Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: fake news intervention; human-subject experiment; web application; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5893; https://ink.library.smu.edu.sg/context/sis_research/article/6896/viewcontent/3._All_the_Wiser_Fake_News_Intervention_Using_User_Reading_Preferences__Demo___WSDM2021_.pdf
• Institution: Singapore Management University

To address the increasingly significant issue of fake news, we develop a news reading platform in which we propose an implicit approach to reduce people's belief in fake news. Specifically, we leverage reinforcement learning to learn an intervention module on top of a recommender system (RS) su...