Taking Fake Online Consumer Reviews Seriously

By J. Malbon. 2013

173 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/e5766823963e4252a477481a8aebb94cf04d7a17

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. H. Kuo
2. Pradeep Racherla
3. Chinintorn Nakhata

In Information Systems

1. H. Kuo
2. Pradeep Racherla
3. Chinintorn Nakhata

Citations in the corpus

• The Impact of Electronic Word-of-Mouth on Customer Satisfaction (2019, background): “Hence, it is important for retailers to continuously improve service quality and consumer experience even when they have already received positive eWOM, Also, retailers should not post fake positive eWOM (Malbon, 2013) to increase their overall ratings because positive ratings can very likely backfi”
• What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014, background): “Fake online reviews are a large enough problem that companies have been advised to take notice and put into place regulatory systems to address the issues that they can cause (Malbon 2013).”