Toward a Theoretical Model of Authentic and Fake User-Generated Online Reviews

  • Snehasish Banerjee, Alton Y. K. Chua
  • January 2019, IGI Global
  • DOI: 10.4018/978-1-5225-8535-0.ch007

Authentic vs. Fake Online Reviews

Photo by henry perks on Unsplash

Photo by henry perks on Unsplash

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.

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.


Dr Snehasish Banerjee
University of York

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!

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The following have contributed to this page: Dr Snehasish Banerjee