Cyberbullying Via Social Media

被引:227
|
作者
Whittaker, Elizabeth [1 ]
Kowalski, Robin M. [1 ]
机构
[1] Clemson Univ, Dept Psychol, Clemson, SC 29634 USA
关键词
cyberbullying; cyber aggression; peer aggression; school violence; METAANALYSIS;
D O I
10.1080/15388220.2014.949377
中图分类号
DF [法律]; D9 [法律];
学科分类号
0301 ;
摘要
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.
引用
收藏
页码:11 / 29
页数:19
相关论文
共 50 条
  • [1] Cyberbullying via social media and well-being
    Giumetti, Gary W.
    Kowalski, Robin M.
    [J]. CURRENT OPINION IN PSYCHOLOGY, 2022, 45
  • [2] Cyberbullying Lexicon for Social Media
    Hang, Ong Chee
    Dahlan, Halina Mohamed
    [J]. 2019 6TH INTERNATIONAL CONFERENCE ON RESEARCH AND INNOVATION IN INFORMATION SYSTEMS: EMPOWERING DIGITAL INNOVATION (ICRIIS 2019), 2019,
  • [3] Social Media Companies' Cyberbullying Policies
    Milosevic, Tijana
    [J]. INTERNATIONAL JOURNAL OF COMMUNICATION, 2016, 10 : 5164 - 5185
  • [4] Towards Cyberbullying Detection on Social Media
    ISCTE - Instituto Universitario de Lisboa
    [J].
  • [5] Adolescents on Social Media: Aggression and Cyberbullying
    Sobkin, Vladimir S.
    Fedotova, Aleksandra, V
    [J]. PSYCHOLOGY IN RUSSIA-STATE OF THE ART, 2021, 14 (04): : 55 - +
  • [6] Detecting Cyberbullying and Cyberaggression in Social Media
    Chatzakou, Despoina
    Leontiadis, Ilias
    Blackburn, Jeremy
    De Cristofaro, Emiliano
    Stringhini, Gianluca
    Vakali, Athena
    Kourtellis, Nicolas
    [J]. ACM TRANSACTIONS ON THE WEB, 2019, 13 (03)
  • [7] Robust Detection of Cyberbullying in Social Media
    Yao, Mengfan
    [J]. COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ), 2019, : 61 - 66
  • [8] Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media
    Yao, Mengfan
    Chelmis, Charalampos
    Zois, Daphney-Stavroula
    [J]. WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019), 2019, : 3427 - 3433
  • [9] Detection of Cyberbullying on Social Media Messages in Turkish
    Ozel, Selma Ayse
    Sarac, Esra
    Akdemir, Seyran
    Aksu, Hulya
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, : 366 - 370
  • [10] Sentiment Informed Cyberbullying Detection in Social Media
    Dani, Harsh
    Li, Jundong
    Liu, Huan
    [J]. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT I, 2017, 10534 : 52 - 67