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Using visual analytics to combat cyberbullying in New Jersey schools
Author(s) -
Ryan Lindy,
Gratale Sierra
Publication year - 2017
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2017.14505401159
Subject(s) - demographics , aggression , analytics , psychology , psychological distress , developmental psychology , applied psychology , demography , data science , computer science , mental health , sociology , psychiatry
The rising and rapid adoption of social media has affected numerous digital behavior changes over the past several years, particularly among adolescent users. Among these, cyberbullying has become an increasingly disruptive and dangerous problem, with effects ranging from increased online aggression to psychological distress and negative effects on academic performance. This study explores the impact of school‐level environmental factors such as demographics and unique student populations on cyberbullying behaviors. Specifically, this study utilized a survey and visual analytics to examine cyberbullying among 882 middle and high‐school students (380 boys and 502 girls) in two New Jersey districts. Findings revealed that broad cyberbullying statistics might not be applicable at individual school level behaviors. Specifically, boys may experience more cyberbullying than girls, victimization may occur predictively in peak grades and both genders may underreport, especially in higher grades.