All the wiser: Fake news intervention using user reading preferences

All the wiser: Fake news intervention using user reading preferences

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

Internet

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

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