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{ "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": "2025-01-02T00:00:00+06:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/49382/galley/37344/download/" } ] }