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.

Featured Image

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.


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.

Dr Snehasish Banerjee
University of York

Read the Original

This page is a summary of: Calling out fake online reviews through robust epistemic belief, Information & Management, April 2021, Elsevier,
DOI: 10.1016/j.im.2021.103445.
You can read the full text:




The following have contributed to this page