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Disinformation Through AI
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Author(s): Adam Kah Jjin Wee (Sunway University, Malaysia), Mei Hua Lin (Sunway University, Malaysia), Michael John Jenkins (Sunway University, Malaysia)and Shu En Lee (HELP University, Malaysia)
Copyright: 2025
Pages: 42
Source title:
Navigating Health Information in the Age of Artificial Intelligence
Source Author(s)/Editor(s): Ashraf Sadat Ahadzadeh (Xiamen University Malaysia, Malaysia), Mansour Amini (Universiti Sains Malaysia, Malaysia)and Shin Ling Wu (Sunway University, Malaysia)
DOI: 10.4018/979-8-3693-5837-5.ch004
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Abstract
The rise of artificial intelligence (AI) has amplified spreading falsified, misleading information, and the difficulty to detect manipulated content, warranting the need to identify determinants of user susceptibility toward mis-and-disinformation from AI in the public health contexts. Adopting a three-stage dual processes theory, this chapter proposed a conceptual model that explains user susceptibility toward mis-and-disinformation from AI as the results of courtesy type 2 processing. From the individual-level, individuals who reflect higher trust in AI, AI literacy, analytical mindset, bullshit receptivity, and prior experience with AI are more vulnerable to AI mis-and-disinformation. From the AI-level, people are more susceptible to mis-and-disinformation from AI with higher automation levels and if the content produced is aligned with people's prior knowledge. From the contextual-level, people are more susceptible to disinformation from AI if they are more pressed for time and overloaded with extra information. Practical, legal, and ethical implications were discussed.
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