Investigating reviewers’ intentions to post fake vs. authentic reviews based on behavioral linguistic features

Kim, J. M., Park, K. K.-c., Mariani, M. ORCID: https://orcid.org/0000-0002-7916-2576 and Wamba, S. F. (2024) Investigating reviewers’ intentions to post fake vs. authentic reviews based on behavioral linguistic features. Technological Forecasting and Social Change, 198. 122971. ISSN 00401625 doi: 10.1016/j.techfore.2023.122971

Abstract/Summary

Growing interest in peer-generated online reviews for product promotion has incentivized online review manipulation. The latter is challenging to be detected. In this study, to discern reviews that are likely authentic vs. fake, we leverage interpersonal deception theory (IDT) and then investigate verbal and nonverbal features that reflect reviewers’ intentions to post fake vs. authentic reviews by using topic modelling techniques. Our findings show topic differences between fake vs. authentic reviews. Based on the results, review manipulators tend to write reviews recommending particular movies, while authentic reviewers are likely to provide movie content information in their reviews. Also, we reveal that review manipulation happens at the early stage of product diffusion and contributes to increasing review ratings. Lastly, we discover that manipulated/fake reviews are more informative and positive. Our findings contribute to extend research on online fake reviews literature by innovatively examining review-writing intentions with topic differences, sentiment, and informativeness. To the best of our knowledge, this is the first attempt to introduce topic factors in the fake review detection literature.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/114093
Identification Number/DOI	10.1016/j.techfore.2023.122971
Refereed	Yes
Divisions	Henley Business School > Leadership, Organisations, Behaviour and Reputation
Publisher	Elsevier
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