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Advanced Mechanism for Finding Spammers in Social Media

by Nivas Mohideen Jinna, Abhishek Lal, Aswin Raju
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 5
Year of Publication: 2018
Authors: Nivas Mohideen Jinna, Abhishek Lal, Aswin Raju
10.5120/ijca2018917115

Nivas Mohideen Jinna, Abhishek Lal, Aswin Raju . Advanced Mechanism for Finding Spammers in Social Media. International Journal of Computer Applications. 181, 5 ( Jul 2018), 1-4. DOI=10.5120/ijca2018917115

@article{ 10.5120/ijca2018917115,
author = { Nivas Mohideen Jinna, Abhishek Lal, Aswin Raju },
title = { Advanced Mechanism for Finding Spammers in Social Media },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 181 },
number = { 5 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number5/29709-2018917115/ },
doi = { 10.5120/ijca2018917115 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:05:03.754604+05:30
%A Nivas Mohideen Jinna
%A Abhishek Lal
%A Aswin Raju
%T Advanced Mechanism for Finding Spammers in Social Media
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 5
%P 1-4
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As most of the people require review about a product before spending their money on the product. So people come across various reviews in the website but these reviews are genuine or fake is not identified by the user. In some review websites some good reviews are added by the product company people itself in order to make in order to produce false positive product reviews. They give good reviews for many different products manufactured by their own firm. User will not be able to find out whether the review is genuine or fake. In this paper we are discuss to find out fake reviews(Spam) made by posting fake comments about a product by identifying the Rate Filter, User Filter, IP address Filter along with review posting patterns. To find out the review is fake or genuine, we will find out the IP address of the user if the system observe fake review send by the same IP Address many a times. This system helps the user to find out correct review of the product.

References
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Index Terms

Computer Science
Information Sciences

Keywords

IP Address Spam.

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