Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11934
Title: A review on social bot detection techniques and research directions
Authors: Karataş, Arzum
Şahin, Serap
Izmir Institute of Technology
Izmir Institute of Technology
Keywords: Social bots
Social bot detection
Online Social Network
Sybils
Issue Date: Oct-2017
Publisher: Bilgi Güvenliği Derneği
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
URI: https://hdl.handle.net/11147/11934
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği

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