A Review on Spam Detection in Social Media Networks

Computer Engineering

Day by day us Online Social Networking is increasing in large amount such as Twitter, Facebook and Myspace. People are sharing their views, post comments, making new friends on OSN. OSN is also useful in advertisement and promotion of products, services, and topics. But there are some threats in OSN. Spammers or illegitimate users affect legitimate users and also the whole network. Sometimes legitimate users have to compromise their accounts. So detecting spammers and campaign promoters is a challenging task. So in this paper we tried to study different types of spamming attacks and campaigns in Online Social networks and related work in spam detection. There may be different approaches for detecting spam such as algorithms, features, and datasets. These things can affect the spam detection Performance.

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