Impacts of AI Tool Clues on Fake Reviews Detecting and User Decision-making

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

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Detail(s)

Original languageEnglish
Title of host publicationICIS 2024 Proceedings
Publication statusPublished - Dec 2024

Conference

TitleInternational Conference on Information Systems 2024
LocationBangkok Marriott Marquis Queen’s Park
PlaceThailand
CityBangkok
Period15 - 18 December 2024

Abstract

Human fake information detection ability is a critical and debated capacity. Practitioners have developed various AI detection tools to aid and alert online consumers about fake content. Based on the sociotechnical perspective and construal level theory, this paper aims to investigate how the types of clues provided by AI detection tools influence human fake information detection ability, measured through decision-making competence (including resistance to fake information and cognitive biases). Online vigilance is proposed as a potential underlying mechanism. Additionally, this research introduces two key boundaries: the expectation gap and the stages of detection tool usage. Theoretical and practical contributions are discussed.

Research Area(s)

  • Fake information detection ability, AI detection tool, clue types, decision-making competence, online vigilance

Bibliographic Note

Since this conference is yet to commence, the information for this record is subject to revision.

Citation Format(s)

Impacts of AI Tool Clues on Fake Reviews Detecting and User Decision-making. / Liu, Yue; Sia, Choon Ling.
ICIS 2024 Proceedings. 2024. 1127.

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