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This study examines how generative AI chatbots manipulate perceptions of expertise and authority, fundamentally altering human information-seeking behaviors and communication protocols. By analyzing the procedural rhetoric used by these systems to influence trustworthiness, the research highlights critical societal risks associated with relying on AI as an authoritative source. The findings are essential for understanding the evolving dynamics between human cognition and automated intelligence in digital ecosystems.
Surse care acoperăarXiv, Fortune, Quantum Zeitgeist, LessWrong
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Investigating the Impacts of Generative AI on Information Seeking

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2609.14638v1 Announce Type: cross Abstract: This paper is an encore submission of our 2026 journal article "Expertise and Information Seeking in the Age of Generative AI: New Procedures, New Problematics" with an extended discussion for the CSCW 2026 "Broader Impacts of GenAI in Communication" Workshop on October 10, 2026. In the original article, we employ procedural rhetoric to analyze how generative AI chatbots leverage natural language signifiers of expertise and intelligence to influence users' perception of their trustworthiness. In this submission, we extend our conversation in the CSCW community with the goal of cultivating a cross-disciplinary vocabulary for describing, analyzing, and mitigating the risks posed by the integration of generative AI into human communication practices. It is important to develop an understanding of how the procedures surrounding information-seeking practices are informed by users' values, experiences, and expectations - and how these procedures might in future be altered by the emerging turn toward AI "experts" and authority.

Abstract:This paper is an encore submission of our 2026 journal article "Expertise and Information Seeking in the Age of Generative AI: New Procedures, New Problematics" with an extended discussion for the CSCW 2026 "Broader Impacts of GenAI in Communication" Workshop on October 10, 2026. In the original article, we employ procedural rhetoric to analyze how generative AI chatbots leverage natural language signifiers of expertise and intelligence to influence users' perception of their trustworthiness. In this submission, we extend our conversation in the CSCW community with the goal of cultivating a cross-disciplinary vocabulary for describing, analyzing, and mitigating the risks posed by the integration of generative AI into human communication practices. It is important to develop an understanding of how the procedures surrounding information-seeking practices are informed by users' values, experiences, and expectations - and how these procedures might in future be altered by the emerging turn toward AI "experts" and authority.

Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

arXiv:2609.14638 [cs.HC]

(or arXiv:2609.14638v1 [cs.HC] for this version)

https://doi.org/10.48550/arXiv.2609.14638 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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