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Generative AI's influence on user trust and information seeking analyzed

By PulseAugur Editorial · [1 sources] ·

A research paper submitted for the CSCW 2026 workshop explores how generative AI chatbots influence user trust through linguistic cues of expertise. The authors analyze how these AI "experts" might alter information-seeking practices and aim to foster a shared understanding within the CSCW community to address the risks associated with integrating generative AI into communication. The paper also discusses the importance of understanding user values and expectations in shaping these information-seeking procedures. AI

IMPACT Investigates how generative AI influences user trust and information-seeking behaviors, aiming to develop strategies to mitigate risks.

RANK_REASON The item is a research paper discussing the impacts of generative AI on information seeking, submitted to a workshop. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Generative AI's influence on user trust and information seeking analyzed

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The item is a research paper discussing the impacts of generative AI on information seeking, submitted to a workshop. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Alexi Orchard, Shannon Lodoen ·

    Investigating the Impacts of Generative AI on Information Seeking

    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 Gen…

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