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Ethical Considerations in Using Fuzzy Artificial Intelligence for Detecting Fake Reviews
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Author(s): A. Firos (Rajiv Gandhi University, India)and Seema Khanum (Indian Computer Emergency Response Team, MeitY, Electronics Niketan, India)
Copyright: 2025
Pages: 20
Source title:
Ethical Dimensions of AI Development
Source Author(s)/Editor(s): Pronaya Bhattacharya (Amity University, Kolkata, India), Ahdi Hassan (Global Institute for Research Education and Scholarship, The Netherlands), Haipeng Liu (Centre for Intelligent Healthcare, Coventry University, UK)and Bharat Bhushan (Sharda University, India)
DOI: 10.4018/979-8-3693-4147-6.ch013
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Abstract
This chapter examines Fuzzy Artificial Intelligence (FAI) as a solution for detecting fake reviews, a growing concern in digital marketplaces. FAI combines fuzzy logic with artificial intelligence to assess the authenticity of reviews by analyzing linguistic variables and producing a desirability score that indicates the likelihood of a review being genuine. Unlike traditional models, FAI handles ambiguity, improving detection accuracy. Results show that FAI outperforms conventional methods, offering deeper insights into review authenticity. The chapter highlights FAI's role in enhancing online trust, protecting consumers, and ensuring reliable decision-making. With its ability to adapt to new data, FAI is crucial for maintaining the integrity of online marketplaces and creating a trustworthy digital environment.
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