Year: 2019
Type: article
Abstract: Twitter is one of the most popular social media platforms with 319 million monthly active users who publish 500 million tweets per day. With this popularity, spam accounts are also emerging for phishing on Twitter or spreading malicious software, advertising using shared URLs on tweets, following legitimate users, and attracting their attention, as well as handling trending topics to spread sexual content. In this article, the features of Twitter bot detection are presented. In addition, Twitter bot detection methods and tools are described. The aim of this study is to determine the best method by comparing and comparing the methods used in the literature for the detection of bot in Twitter.
Authors: Alina Amanzholova, Aysun Coşkun, Yasin Akman
Institutions: Gazi University, Selçuk University
Language: Spanish
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W3009184157