Clue Types of AI Detection Tools Influence Decision-Making Competence in the Context of Fake Reviews
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | The 17th China Summer Workshop on Information Management, CSWIM 2024 - PROCEEDINGS |
Pages | 143-148 |
Publication status | Published - Jun 2024 |
Conference
Title | 17th China Summer Workshop on Information Management (CSWIM 2024) |
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Place | China |
City | Xiamen |
Period | 29 - 30 June 2024 |
Link(s)
Document Link | Links
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Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(0d2ad66e-aae2-4a1e-a851-707a6d2f969e).html |
Abstract
Human fake information detection ability is a critical and debated skill. Practitioners have developed various AI detection tools to aid and alert online consumers about fake content. This study 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 critical 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
Citation Format(s)
Clue Types of AI Detection Tools Influence Decision-Making Competence in the Context of Fake Reviews. / Liu, Yue; Ke, Weiling; Sia, Choon Ling.
The 17th China Summer Workshop on Information Management, CSWIM 2024 - PROCEEDINGS. 2024. p. 143-148.
The 17th China Summer Workshop on Information Management, CSWIM 2024 - PROCEEDINGS. 2024. p. 143-148.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review