All the Wiser
Autor: | Aiping Xiong, Shih-Chieh Dai, Kuan-Chieh Lo, Lun-Wei Ku, Jing Jiang |
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Rok vydání: | 2021 |
Předmět: |
business.industry
Computer science media_common.quotation_subject 05 social sciences Recommender system 050105 experimental psychology World Wide Web Leverage (negotiation) Intervention (counseling) Reading (process) 0502 economics and business Reinforcement learning Web application 0501 psychology and cognitive sciences Fake news 050207 economics business media_common |
Zdroj: | WSDM |
DOI: | 10.1145/3437963.3441696 |
Popis: | 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) such that the module is activated to replace RS to recommend news toward the verification once users touch the fake news. To examine the effect of the proposed method, we conduct a comprehensive evaluation with 89 human subjects and check the effective rate of change in belief but without their other limitations. Moreover, 84% participants indicate the proposed platform can help them defeat fake news. The demo video is available on YouTube https://youtu.be/wKI6nuXu_SM. |
Databáze: | OpenAIRE |
Externí odkaz: |