CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Advanced Mechanism for Finding Spammers in Social Media

by Nivas Mohideen Jinna, Abhishek Lal, Aswin Raju
journal cover thumbnail

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
  1. G. Fei, A. Mukherjee, B. Liu, M. Hsu, M. Castellanos, and R. Ghosh. Exploiting burstiness in reviews for review spammer detection. In ICWSM, 2013.
  2. H. Li, Z. Chen, B. Liu, X. Wei, and J. Shao. Spotting fake reviews via collective PU learning. In ICDM, 2014.
  3. L. Akoglu, R. Chandy, and C. Faloutsos. Opinion fraud detection in online reviews bynetwork effects. In ICWSM, 2013.
  4. S. Feng, R. Banerjee and Y. Choi. Syntactic stylometry for deception detection. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers; ACL, 2012.
  5. G. Wang, S. Xie, B. Liu, and P. S. Yu. Review graph based online store review spammer detection. IEEE ICDM, 2011.
  6. C. L. Lai, K. Q. Xu, R. Lau, Y. Li, and L. Jing. Toward a Language Modeling Approach for Consumer Review Spam Detection. In Proceedings of the 7th international conference on e-Business Engineering. 2011. N. Jindal and B. Liu. Opinion Spam and Analysis. In WSDM, 2008.
  7. Ott M, Choi Y, Cardie C, Hancock JT (2011) Finding deceptive opinion spam by any stretch of the imagination. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1 (pp. 309–319). Association for Computational Linguistics.
  8. Morales A, Sun H, Yan X (2013) Synthetic review spamming and defense. In: Proceedings of the 22nd international conference on World Wide Web companion (pp. 155–156). International World Wide Web Conferences Steering Committee, Rio de Janeiro, Brazil.
  9. Mukherjee A, Venkataraman V, Liu B, Glance NS (2013) What yelp fake review filter might be doing? Boston, In ICWSM.
Index Terms

Computer Science
Information Sciences

Keywords

IP Address Spam.

Powered by PhDFocusTM