Detecting Inactive Cyberwarriors from Online Forums
August 28, 2023 ยท Declared Dead ยท ๐ 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Authors
Ruei-Yuan Wang, Hung-Hsuan Chen
arXiv ID
2308.15491
Category
cs.SI: Social & Info Networks
Cross-listed
cs.AI,
cs.LG
Citations
3
Venue
2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Repository
https://github.com/Ryaninthegame/Detect-Inactive-Spammers-on-PTT}
Last Checked
2 months ago
Abstract
The proliferation of misinformation has emerged as a new form of warfare in the information age. This type of warfare involves cyberwarriors, who deliberately propagate messages aimed at defaming opponents or fostering unity among allies. In this study, we investigate the level of activity exhibited by cyberwarriors within a large online forum, and remarkably, we discover that only a minute fraction of cyberwarriors are active users. Surprisingly, despite their expected role of actively disseminating misinformation, cyberwarriors remain predominantly silent during peacetime and only spring into action when necessary. Moreover, we analyze the challenges associated with identifying cyberwarriors and provide evidence that detecting inactive cyberwarriors is considerably more challenging than identifying their active counterparts. Finally, we discuss potential methodologies to more effectively identify cyberwarriors during their inactive phases, offering insights into better capturing their presence and actions. The experimental code is released for reproducibility: \url{https://github.com/Ryaninthegame/Detect-Inactive-Spammers-on-PTT}.
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