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More than half of young social media users worldwide have been exposed to such prolonged and\/or coordinated digital harassment. Victims can experience a wide range of emotions, with negative consequences such as embarrassment, depression, isolation from other community members, which embed the risk to lead to even more critical consequences, such as suicide attempts.<\/jats:p>\n          <jats:p>In this work, we take the first concrete steps to understand the characteristics of abusive behavior in Twitter, one of today\u2019s largest social media platforms. We analyze 1.2 million users and 2.1 million tweets, comparing users participating in discussions around seemingly normal topics like the NBA, to those more likely to be hate-related, such as the Gamergate controversy, or the gender pay inequality at the BBC station. We also explore specific manifestations of abusive behavior, i.e., cyberbullying and cyberaggression, in one of the hate-related communities (Gamergate). We present a robust methodology to distinguish bullies and aggressors from normal Twitter users by considering text, user, and network-based attributes. Using various state-of-the-art machine-learning algorithms, we classify these accounts with over 90% accuracy and AUC. Finally, we discuss the current status of Twitter user accounts marked as abusive by our methodology and study the performance of potential mechanisms that can be used by Twitter to suspend users in the future.<\/jats:p>","DOI":"10.1145\/3343484","type":"journal-article","created":{"date-parts":[[2019,10,15]],"date-time":"2019-10-15T16:35:58Z","timestamp":1571157358000},"page":"1-51","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":96,"title":["Detecting Cyberbullying and Cyberaggression in Social Media"],"prefix":"10.1145","volume":"13","author":[{"given":"Despoina","family":"Chatzakou","sequence":"first","affiliation":[{"name":"Centre for Research and Technology Hellas, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ilias","family":"Leontiadis","sequence":"additional","affiliation":[{"name":"Samsung AI, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy","family":"Blackburn","sequence":"additional","affiliation":[{"name":"SUNY Binghamton, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emiliano De","family":"Cristofaro","sequence":"additional","affiliation":[{"name":"University College London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianluca","family":"Stringhini","sequence":"additional","affiliation":[{"name":"Boston University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Athena","family":"Vakali","sequence":"additional","affiliation":[{"name":"Aristotle University of Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Kourtellis","sequence":"additional","affiliation":[{"name":"Telefonica Research, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,10,14]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"AllSlang. 2017. 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Retrieved from https:\/\/www.dailymail.co.uk\/wires\/ap\/article-3419263\/Venezuela-doctors-worried-official-silence-Zika.htm.  Associated Press. 2016. Retrieved from https:\/\/www.dailymail.co.uk\/wires\/ap\/article-3419263\/Venezuela-doctors-worried-official-silence-Zika.htm."},{"key":"e_1_2_1_76_1","doi-asserted-by":"crossref","unstructured":"J. R. Quinlan. 1986. Induction of decision trees. Mach. Learn. 1 1 (1986).  J. R. Quinlan. 1986. Induction of decision trees. Mach. Learn. 1 1 (1986).","DOI":"10.1007\/BF00116251"},{"key":"e_1_2_1_77_1","first-page":"1","article-title":"JSAT: Java statistical analysis tool, a library for machine learning","volume":"18","author":"Raff Edward","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_2_1_78_1","unstructured":"Twitter Safety. 2017. Enforcing new rules to reduce hateful conduct and abusive behavior. Retrieved from https:\/\/blog.twitter.com\/official\/en_us\/topics\/company\/2017\/safetypoliciesdec2017.html.  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