{"pk":49382,"title":"A Bayesian Model of Confirmatory Exploration in Text-based Web Media","subtitle":null,"abstract":"As web media, such as social networking services (SNS), become more prevalent, the formation of false beliefs through fake news and propaganda has become a significant problem. This study focuses on the cognitive process of users as actively information-seeking agents in web media exploration and proposes WEB-FEP, a computational model of users forming specific beliefs through interactions with web media. WEB-FEP specifically attempts to computationally reproduce confirmation bias in web media exploration by formalizing the trade-off between belief-confirmatory and exploratory actions inspired by active inference. WEB-FEP is validated by comparing the results of simulations with user experiments conducted on a virtual SNS. The results indicate that the initial belief distributions and learning rates modeled in WEB-FEP can successfully reproduce the diverse behaviors of users including confirmatory exploration.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Artificial Intelligence; Psychology; Human-computer interaction; Intelligent agents; Language and thought; Agent-based Modeling; Bayesian modeling; Computational Modeling"}],"section":"Papers with Poster Presentation","is_remote":true,"remote_url":"https://escholarship.org/uc/item/93p7z2g9","frozenauthors":[{"first_name":"Yosuke","middle_name":"","last_name":"Fukuchi","name_suffix":"","institution":"Tokyo Metropolitan University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2025-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/49382/galley/37344/download/"}]}