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Networks of Negativity: Gaining Attention Through Cyberbullying

Author

Listed:
  • Diane Felmlee

    (Department of Sociology and Criminology, The Pennsylvania State University, University Park, PA 16802, USA)

  • Sara Francisco

    (Department of Sociology, Grinnell College, Grinnell, IA 50112, USA)

  • Melissa Hardy

    (Department of Sociology and Criminology, The Pennsylvania State University, University Park, PA 16802, USA)

Abstract

Cyberbullying entails multiple, problematic consequences for its victims. However, little is known about the factors that influence the dispersion of these damaging messages. Drawing on theories of social interaction, we argue that perpetrators disseminate messages containing sexist and racist slurs that reinforce stereotypical, social norms to enhance their online visibility. We collected cross-sectional and longitudinal samples of tweets (N = 539,558 and 248,497, respectively) that included either gender or Asian slurs. We find that tweets containing gender or Asian slurs that were more negative in sentiment had a significantly higher number of retweets than more positive tweets, thereby heightening a user’s online presence and the reach of their content. Two historical events unfolded during our study—the onset of COVID-19 and the murder of George Floyd by a police officer. Tweet negativity increased following both events. Our findings demonstrate the capacity of aggressive tweets to generate wide-ranging networks, a process which is exacerbated further by public crises. Results suggest that the practice of sending such messages is strategic. Perpetrators likely engage in cyberbullying, consciously or not, to increase their online attention. Moreover, this strategy appears to be successful.

Suggested Citation

  • Diane Felmlee & Sara Francisco & Melissa Hardy, 2024. "Networks of Negativity: Gaining Attention Through Cyberbullying," IJERPH, MDPI, vol. 21(12), pages 1-18, December.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:12:p:1699-:d:1548120
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    References listed on IDEAS

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    1. Thu T. Nguyen & Shaniece Criss & Pallavi Dwivedi & Dina Huang & Jessica Keralis & Erica Hsu & Lynn Phan & Leah H. Nguyen & Isha Yardi & M. Maria Glymour & Amani M. Allen & David H. Chae & Gilbert C. G, 2020. "Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of COVID-19," IJERPH, MDPI, vol. 17(19), pages 1-13, September.
    2. Ujué Agudo & Helena Matute, 2021. "The influence of algorithms on political and dating decisions," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-17, April.
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