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

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 journal › Conference article › peer-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 language	English
Pages (from-to)	89-93
Number of pages	5
Journal	CEUR Workshop Proceedings
Volume	3080
Early online date	27 Dec 2021
Publication status	Published online - 27 Dec 2021

Keywords

Deep Learning
Machine learning
Fake comments

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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SysCom_2021_BrijPaperFinal published version, 555 KBLicence: CC BY

https://ceur-ws.org/Vol-3080/13.pdf

Cite this

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title = "A Novel Approach for Fake Comments and Reviews Detection on the Online Social Networks",

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 difficultto 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.",

keywords = "Deep Learning, Machine learning, Fake comments",

author = "Akshat Gaurav and Gupta, {Brij Bhooshan} and Chui, {Kwok Tai} and Dragan Perakovi{\'c} and Priyanka Chaurasia and Ching-Hsien Hsu",

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T1 - A Novel Approach for Fake Comments and Reviews Detection on the Online Social Networks

AU - Gaurav, Akshat

AU - Gupta, Brij Bhooshan

AU - Chui, Kwok Tai

AU - Peraković, Dragan

AU - Chaurasia, Priyanka

AU - Hsu, Ching-Hsien

PY - 2021/12/27

Y1 - 2021/12/27

N2 - 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 difficultto 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.

AB - 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 difficultto 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.

KW - Deep Learning

KW - Machine learning

KW - Fake comments

M3 - Conference article

SN - 1613-0073

VL - 3080

SP - 89

EP - 93

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

ER -

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

Abstract

Keywords

UN SDGs

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