A Review on Social Bot Detection Techniques and Research Directions

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Date

2017

Authors

Karataş, Arzum
Şahin, Serap

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Publisher

Bilgi Güvenliği Derneği

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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

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Start Page

156

End Page

161
Page Views

9406

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Downloads

940

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