Cyberbullying Via Social Media

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Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network (2016, background): “Therefore, these websites have become the most common platforms for cyberbullying victimization (Whittaker & Kowalski, 2015), and their popularity and proliferation have increased the incidents of cyberbullying (Mark & Ratliffe, 2011).”
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms (2018, background): “Various studies have estimated that between to 10% to 40% of internet users are victims of cyberbullying [17].”
School bullying from a sociocultural perspective (2018, background): “As well as providing new forms of bullying, technology has paved the way for greater blurring of boundaries for the engagement of bullying across settings such as school, home and cyberspaces (Whittaker & Kowalski, 2015).”
Toward Multimodal Cyberbullying Detection (2017, background): “• Tone and Word count of the comments Prior literature suggests that the tone in cyberbullying sessions are usually more aggressive and contains higher word counts [52].”
Consistency of gender differences in bullying in cross-cultural surveys (2019, unknown): “Discussion of this possible gender shift is not totally new (Görzig & Ólafsson, 2013; Smith, 2014; Whittaker & Kowalski, 2015), but it has not been demonstrated before to hold significantly across a range of countries and to show similar patterns across surveys.”