What is it about?
The paper develops a theoretical model to better understand authentic and fake online reviews. It represents one of the earliest steps toward distilling the essence of existing seminal theories on information authenticity in a coherent and parsimonious format to theorize differences—encompassing both actual and perceived—between authentic and fake reviews.
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Why is it important?
The theoretical model developed in the paper can pave the way for future theoretical as well as empirical research in the fields of computational linguistics, machine learning, human-computer interaction and consumer psychology.
Perspectives
This book chapter contains the theoretical model that helped me earn my PhD. While conducting this research, I always felt that it is TOUGH for people to distinguish between authentic and fake online reviews. It was also TOUGH for me to carry out my research. Hence, I decided to call my theoretical model TAF (pronounced TOUGH), which stands for 'Theoretical model of Authentic and Fake online reviews'. It will keep reminding me how tough my PhD journey was!
Dr Snehasish Banerjee
University of York
Read the Original
This page is a summary of: Toward a Theoretical Model of Authentic and Fake User-Generated Online Reviews, January 2019, IGI Global,
DOI: 10.4018/978-1-5225-8535-0.ch007.
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