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Original paper

Spammer Detection and Fake User Identification on Social Networks

Volume: 7, Pages: 68140 - 68152
Published: Jan 1, 2019
Abstract
Social networking sites engage millions of users around the world. The users' interactions with these social sites, such as Twitter and Facebook have a tremendous impact and occasionally undesirable repercussions for daily life. The prominent social networking sites have turned into a target platform for the spammers to disperse a huge amount of irrelevant and deleterious information. Twitter, for example, has become one of the most...
Paper Details
Title
Spammer Detection and Fake User Identification on Social Networks
Published Date
Jan 1, 2019
Volume
7
Pages
68140 - 68152
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