A Novel Approach for Fake Comments and Reviews Detection on the Online Social Networks

Akshat Gaurav, Brij Bhooshan Gupta, Kwok Tai Chui, Dragan Peraković, Priyanka Chaurasia, Ching-Hsien Hsu

Research output: Contribution to journalConference articlepeer-review

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Abstract

As the primary source of information dissemination, social media networks have surpassed traditional news organisations for the first time. Nonetheless, as the number of people who use social media websites grows, they become more susceptible to the spread of misinformation, making it increasingly difficult
to distinguish between real news and false news in real time. In this paper, we proposed a machine learning technique for the detection of fake comments in social networks. According to the results of the experiment, it is clear that the machine learning technique efficiently detects the fake comments.
Original languageEnglish
Pages (from-to)89-93
Number of pages5
JournalCEUR Workshop Proceedings
Volume3080
Early online date27 Dec 2021
Publication statusPublished online - 27 Dec 2021

Keywords

  • Deep Learning
  • Machine learning
  • Fake comments

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