A Review on Social Bot Detection Techniques and Research Directions
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Date
2017
Authors
Karataş, Arzum
Şahin, Serap
Journal Title
Journal ISSN
Volume Title
Publisher
Bilgi Güvenliği Derneği
Open Access Color
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Abstract
The rise of web services and popularity of online social networks (OSN) like Facebook, Twitter, LinkedIn etc. have led to the rise of unwelcome social bots as automated social actors. Those actors can play many malicious roles including infiltrators of human conversations, scammers, impersonators, misinformation disseminators, stock market manipulators, astroturfers, and any content polluter (spammers, malware spreaders) and so on. It is undeniable that social bots have major importance on social networks. Therefore, this paper reveals the potential hazards of malicious social bots, reviews the detection techniques within a methodological categorization and proposes avenues for future research.
Description
10th International Conference on Information Security and Cryptology (ISCTurkey 2017); October 2017, Ankara, Türkiye
Keywords
Social bots, Social bot detection, Online Social Network, Sybils
Fields of Science
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Source
Volume
Issue
Start Page
156
End Page
161
