Human Reaction to GenAI Threats: A Perspective of Protection Motivation Theory

Xiao Xiao, Kun Chen, Zhenbin Yan

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Generative AI (GenAI) has instigated notable shifts across diverse sectors. Both academia and industry express concerns about ChatGPT's impact on human interaction. Focusing on users active on Stack Overflow and other platforms within Stack Exchange, this study employs a difference-in-differences method to explore their reactions to the threat posed by GenAI through the lens of protection motivation theory. Analyzing users' answering and questioning behaviors reveals a preference for posing questions and crafting longer texts and titles on platforms facing GenAI threats. Similarly, users contribute more elaborate answers on threatened platforms. However, on Stack Overflow, users generate answers with more innovation to avoid being similar to previous answers and deleted by moderators. Notably, experienced users exhibit a more pronounced response to GenAI threats. This study confirms users' awareness of the threat posed by GenAI and the effectiveness of the ban policy launched by the platform.
Original languageEnglish
Title of host publicationPACIS 2024 Proceedings
PublisherAssociation for Information Systems
Number of pages9
ISBN (Print)978-1-958200-12-4
Publication statusPublished - 2024
Event2024 Pacific Asia Conference on Information Systems (PACIS 2024): Preparing The Next Generation For The IT-Driven Future - Ho Chi Minh City, Viet Nam
Duration: 1 Jul 20245 Jul 2024
https://pacis2024.aisconferences.org/
https://aisel.aisnet.org/pacis2024/

Conference

Conference2024 Pacific Asia Conference on Information Systems (PACIS 2024)
PlaceViet Nam
CityHo Chi Minh City
Period1/07/245/07/24
Internet address

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Funding

This work was supported by National Natural Science Foundation of China (General Program, No. 72271114). Zhenbin Yan was sponsored by Shanghai Pujiang Program [Grant 22PJC117].

Research Keywords

  • Generative AI
  • human behavior
  • knowledge-sharing platforms
  • AI threats

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