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A Study on Spam Detection in Social Media


volume 5 issue 1 Download Paper
Year of Publication: 2019
Authors: khushpreet kaur, Ramanjot Kaur

Abstract


Social networks provide users with a way to stay in touch with friends. Increasing the popularity of social networks allows all of them to collect a large amount of personal information about their users. Unfortunately, the wealth of this information and the convenience of accessing user information can be of concern to malicious groups. That's why these networks are being invaded by spammers, and there is a lot of work to diagnose and fix them. Regarding this issue, spammers are looking for new ways to locate these networks every day, so they are constantly taking action to identify spammers and malicious emails. The purpose of this article is to study previous work in the field of spam detection in social networks along with the brief introduction about social media as well as their related techniques used for the detection of spam.


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Keywords


Social Networks, Spam detection, Machine Learning, Content based and Profile based, Creating Honeypot