DoWe Trust ChatGPT as much as Google Search and Wikipedia?

Yongnam Jung, Cheng Chen, Eunchae Jang, S. Shyam Sundar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Although studies, audits, and anecdotal observations have shown that information generated by ChatGPT is not always accurate, many users tend to show unwarranted trust in this new source. Do they consider ChatGPT to be like any other online information source such as Google and Wikipedia, without realizing that generative AI technology creates content that is not necessarily based on facts? Why do they trust information from ChatGPT? Understanding how users perceive content from generative AI tools is crucial because it can help reduce unwarranted trust in inaccurate information and mitigate the spread of misinformation. A focus group and interview study (N=14) revealed that thankfully not all users trust ChatGPT-generated information as much as Google Search and Wikipedia. It also shed light on the primary psychological considerations when trusting an online information source, namely perceived gatekeeping, and perceived information completeness. In addition, technological affordances such as interactivity and crowdsourcing were also found to be important for trust formation. We discuss theoretical and practical implications for design of generative AI interfaces.

Original languageEnglish (US)
Title of host publicationCHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400703317
DOIs
StatePublished - May 11 2024
Event2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 - Hybrid, Honolulu, United States
Duration: May 11 2024May 16 2024

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024
Country/TerritoryUnited States
CityHybrid, Honolulu
Period5/11/245/16/24

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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