Consumer reactions to perceived undisclosed ChatGPT usage in an online review context

被引：0

作者：

Amos, Clinton ^{[1
]}

Zhang, Lixuan ^{[1
]}

机构：

[1] Weber State Univ, Goddard Sch Business & Econ, 1337 Edvalson St, Ogden, UT 84408 USA

来源：

TELEMATICS AND INFORMATICS | 2024年 / 93卷

关键词：

Generative AI; ChatGPT; Online review; Review Valence; Trust in online review; WORD-OF-MOUTH; SOURCE CREDIBILITY; NEGATIVITY BIAS; HELPFULNESS; INFORMATION; TRUSTWORTHINESS; VALENCE; SEARCH; IMPACT; CUES;

D O I：

10.1016/j.tele.2024.102163

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

While artificial intelligence's (AI) promise for fake online review detection has been investigated, other questions have emerged with ChatGPT's introduction, a generative AI platform. This research provides a much-needed investigation into consumer reactions to reviews perceived to be generated by ChatGPT vs. a human. Results from three studies in TripAdvisor hotel review and Yelp restaurant review contexts revealed that consumers rate reviews as less useful, trustworthy, and authentic if they perceived ChatGPT generated them. Further, the findings were robust regardless of review valence and even when participants were informed the reviewer possessed a TripAdvisor Expert badge. These findings' theoretical and practical implications are discussed, along with limitations.

引用

页数：15

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