Toward a theoretical model of authentic and fake user-generated online reviews

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)



Publication details

Title of host publicationHandbook of Research on Deception, Fake News, and Misinformation Online
DateAccepted/In press - 9 Apr 2019
DatePublished (current) - 2019
Number of pages17
PublisherHershey, PA: IGI Global
Original languageEnglish


As consumers increasingly rely on user-generated online reviews to make purchase decisions, the prevalence of fake entries camouflaged among authentic ones has become a growing concern. On the scholarly front, this has given rise to two disparate research strands. The first focuses on ways to distinguish between authentic and fake reviews but ignores consumers’ perceptions. The second deals with consumers’ perceptions of reviews without delving into their ability to discern review authenticity in the first place. As a result of the fragmented literature, what has eluded scholarly attention is the extent to which consumers are able to perceive actual differences between authentic and fake reviews. To this end, the chapter highlights the theoretical value of weaving the two research strands together. With the aim to contribute to the theoretical discussion surrounding the problem, it specifically develops what is referred as the Theoretical model of Authentic and Fake reviews (the TAF). New research directions are identified based on the TAF.

    Research areas

  • Authenticity, Deception, Linguistic cue, online review, opinion spam, social media, User-generated content, User perception

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations