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The Gospel according to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information.

, , , , , , and . ICWSM, page 735-746. AAAI Press, (2022)

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Tiresias: Predicting Security Events Through Deep Learning., , , and . CoRR, (2019)On the Origins of Memes by Means of Fringe Web Communities., , , , , , and . Internet Measurement Conference, page 188-202. ACM, (2018)EVILCOHORT: Detecting Communities of Malicious Accounts on Online Services., , , , , and . USENIX Security Symposium, page 563-578. USENIX Association, (2015)Towards Detecting Compromised Accounts on Social Networks., , , and . CoRR, (2015)What's in a Name?: Understanding Profile Name Reuse on Twitter., , , , , , and . WWW, page 1161-1170. ACM, (2017)Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web., , , , , and . WWW (Companion Volume), page 218-226. ACM, (2019)Detecting Aggressors and Bullies on Twitter., , , , , and . WWW (Companion Volume), page 767-768. ACM, (2017)Eight Years of Rider Measurement in the Android Malware Ecosystem., and . IEEE Trans. Dependable Secur. Comput., 19 (1): 107-118 (2022)MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models., , , , , and . NDSS, The Internet Society, (2017)Understanding Worldwide Private Information Collection on Android., , and . NDSS, The Internet Society, (2021)