Calling out fake online reviews through robust epistemic belief

  • Snehasish Banerjee, Alton Y.K. Chua
  • Information & Management, April 2021, Elsevier
  • DOI: 10.1016/j.im.2021.103445

Human eyes are actually able to spot fake online reviews

Photo by Sergey Zolkin on Unsplash

Photo by Sergey Zolkin on Unsplash

What is it about?

Research shows that computational algorithms can classify online reviews as authentic or fake based on linguistic nuances. This study examines whether Internet users can process reviews in an algorithmic manner to discern authenticity.

Why is it important?

It shows that humans can spot fake reviews. However this is only true if they take online information with a pinch of salt.

Perspectives

Dr Snehasish Banerjee
University of York

You only see what you look for and miss the rest. Online users often fail to detect fake reviews because they do not proactively look for deception cues. So there is a need to change this default review reading habit to a critical reading habit. And if the critical review reading habit is practised long enough, people will eventually be able to rely on their gut instinct for fake review detection.

Read Publication

http://dx.doi.org/10.1016/j.im.2021.103445

The following have contributed to this page: Dr Snehasish Banerjee