The Experts below are selected from a list of 11088 Experts worldwide ranked by ideXlab platform
Robin M. Kowalski - One of the best experts on this subject based on the ideXlab platform.
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Cyberbullying among Youth with and without Disabilities
Journal of Child & Adolescent Trauma, 2018Co-Authors: Robin M. Kowalski, Allison TothAbstract:Cyberbullying refers to bullying that occurs through the Internet and text messaging. While strides have been made in understanding the frequency with which Cyberbullying occurs and its correlates, only a handful of published studies have examined Cyberbullying among individuals with disabilities. Thus, this study examined Cyberbullying prevalence rates and correlates among 231 participants age 16 to 20 ( M = 19.32) with and without disabilities (51% male; 70.6% Caucasian). The study also examined the influence of disability status on participants’ ability to detect the presence/absence of Cyberbullying. Both individuals with and without disabilities displayed high prevalence rates of Cyberbullying victimization, with youth with disabilities displaying significantly higher rates. Perpetration rates did not differ significantly between the two groups. Disability status (present/absent) did not influence the ability of participants to detect the presence or absence of Cyberbullying. Implications of the findings for prevention/intervention efforts are discussed.
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Cyberbullying Via Social Media
Journal of School Violence, 2015Co-Authors: Elizabeth Whittaker, Robin M. KowalskiAbstract:Recent years have witnessed a surge of research on Cyberbullying. In this article, three studies examined prevalence rates of Cyberbullying among college-age students, venues through which Cyberbullying occurs, with a particular focus on social media, and perceptions of Cyberbullying as a function of features of the target (e.g., peer, celebrity, groups). Study 1 found texting and social media to be the most commonly used venues for Cyberbullying victimization. Study 2 determined that features of the target of cyber aggressive comments influenced perceptions of Cyberbullying. Online aggressive comments directed toward peers were perceived most negatively whereas those targeted toward random people known only online were evaluated least negatively. Using an innovative methodology for examining Cyberbullying, Study 3 found that venue (e.g., Facebook, comments, forum posts) and features of the target influenced the nature of online exchanges. Implications for prevention and intervention are discussed.
Robert S Tokunaga - One of the best experts on this subject based on the ideXlab platform.
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review following you home from school a critical review and synthesis of research on Cyberbullying victimization
Computers in Human Behavior, 2010Co-Authors: Robert S TokunagaAbstract:More than 97% of youths in the United States are connected to the Internet in some way. An unintended outcome of the Internet's pervasive reach is the growing rate of harmful offenses against children and teens. Cyberbullying victimization is one such offense that has recently received a fair amount of attention. The present report synthesizes findings from quantitative research on Cyberbullying victimization. An integrative definition for the term Cyberbullying is provided, differences between traditional bullying and Cyberbullying are explained, areas of convergence and divergence are offered, and sampling and/or methodological explanations for the inconsistencies in the literature are considered. About 20-40% of all youths have experienced Cyberbullying at least once in their lives. Demographic variables such as age and gender do not appear to predict Cyberbullying victimization. Evidence suggests that victimization is associated with serious psychosocial, affective, and academic problems. The report concludes by outlining several areas of concern in Cyberbullying research and discusses ways that future research can remedy them.
Mikko T Siponen - One of the best experts on this subject based on the ideXlab platform.
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why do adults engage in Cyberbullying on social media an integration of online disinhibition and deindividuation effects with the social structure and social learning model
Information Systems Research, 2016Co-Authors: Paul Benjamin Lowry, Jun Zhang, Chuang Lincy Wang, Mikko T SiponenAbstract:The dramatic increase in social media use has challenged traditional social structures and shifted a great deal of interpersonal communication from the physical world to cyberspace. Much of this social media communication has been positive: Anyone around the world who has access to the Internet has the potential to communicate with and attract a massive global audience. Unfortunately, such ubiquitous communication can be also used for negative purposes such as Cyberbullying, which is the focus of this paper. Previous research on Cyberbullying, consisting of 135 articles, has improved the understanding of why individuals—mostly adolescents—engage in Cyberbullying. However, our study addresses two key gaps in this literature: (1) how the information technology (IT) artifact fosters/inhibits Cyberbullying and (2) why people are socialized to engage in Cyberbullying. To address these gaps, we propose the social media Cyberbullying model (SMCBM), which modifies Akers’ [Akers RL (2011) Social Learning and Socia...
Androniki Kavoura - One of the best experts on this subject based on the ideXlab platform.
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Cyberbullying a review of the literature on harassment through the internet and other electronic means
Family & Community Health, 2010Co-Authors: Stavros P Kiriakidis, Androniki KavouraAbstract:The present article is a review of the literature of Cyberbullying. Main findings are summarized regarding issues of definition of Cyberbullying, differences, and similarities with traditional bullying; its extent; the forms of Cyberbullying; the characteristics of cyberbullies and cybervictims; the effects of Cyberbullying on the psychosocial development of youth; age and gender differences of Cyberbullying; and perceived causes of Cyberbullying. In addition, the steps that can be undertaken by youth, parents, teachers, and schools to deal with the problem and possible pathways for interventions, from a public health perspective, at the individual, class, organizational, and community levels are presented from the literature. Finally, possible legal solutions deriving from both criminal and civil law are presented. Language: en
Joanna Lumsden - One of the best experts on this subject based on the ideXlab platform.
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Approaches to Automated Detection of Cyberbullying: A Survey
IEEE Transactions on Affective Computing, 2020Co-Authors: Semiu Salawu, Yulan He, Joanna LumsdenAbstract:Research into Cyberbullying detection has increased in recent years, due in part to the proliferation of Cyberbullying across social media and its detrimental effect on young people. A growing body of work is emerging on automated approaches to Cyberbullying detection. These approaches utilise machine learning and natural language processing techniques to identify the characteristics of a Cyberbullying exchange and automatically detect Cyberbullying by matching textual data to the identified traits. In this paper, we present a systematic review of published research (as identified via Scopus, ACM and IEEE Xplore bibliographic databases) on Cyberbullying detection approaches. On the basis of our extensive literature review, we categorise existing approaches into 4 main classes, namely supervised learning, lexicon-based, rule-based, and mixed-initiative approaches. Supervised learning-based approaches typically use classifiers such as SVM and Naıve Bayes to develop predictive models for Cyberbullying detection. Lexicon-based systems utilise word lists and use the presence of words within the lists to detect Cyberbullying. Rule-based approaches match text to predefined rules to identify bullying, and mixed-initiatives approaches combine human-based reasoning with one or more of the aforementioned approaches. We found lack of labelled datasets and non-holistic consideration of Cyberbullying by researchers when developing detection systems are two key challenges facing Cyberbullying detection research. This paper essentially maps out the state-of-the-art in Cyberbullying detection research and serves as a resource for researchers to determine where to best direct their future research efforts in this field.
