TY - GEN
T1 - DoWe Trust ChatGPT as much as Google Search and Wikipedia?
AU - Jung, Yongnam
AU - Chen, Cheng
AU - Jang, Eunchae
AU - Sundar, S. Shyam
N1 - Publisher Copyright:
© 2024 Association for Computing Machinery. All rights reserved.
PY - 2024/5/11
Y1 - 2024/5/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85194160114&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85194160114&partnerID=8YFLogxK
U2 - 10.1145/3613905.3650862
DO - 10.1145/3613905.3650862
M3 - Conference contribution
AN - SCOPUS:85194160114
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
PB - Association for Computing Machinery
T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024
Y2 - 11 May 2024 through 16 May 2024
ER -