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Moralization in social networks and the emergence of violence during protests

Author

Listed:
  • Marlon Mooijman

    (Northwestern University)

  • Joe Hoover

    (University of Southern California
    University of Southern California)

  • Ying Lin

    (Rensselaer Polytechnic Institute)

  • Heng Ji

    (Rensselaer Polytechnic Institute)

  • Morteza Dehghani

    (University of Southern California
    University of Southern California
    University of Southern California)

Abstract

In recent years, protesters in the United States have clashed violently with police and counter-protesters on numerous occasions1–3. Despite widespread media attention, little scientific research has been devoted to understanding this rise in the number of violent protests. We propose that this phenomenon can be understood as a function of an individual’s moralization of a cause and the degree to which they believe others in their social network moralize that cause. Using data from the 2015 Baltimore protests, we show that not only did the degree of moral rhetoric used on social media increase on days with violent protests but also that the hourly frequency of morally relevant tweets predicted the future counts of arrest during protests, suggesting an association between moralization and protest violence. To better understand the structure of this association, we ran a series of controlled behavioural experiments demonstrating that people are more likely to endorse a violent protest for a given issue when they moralize the issue; however, this effect is moderated by the degree to which people believe others share their values. We discuss how online social networks may contribute to inflations of protest violence.

Suggested Citation

  • Marlon Mooijman & Joe Hoover & Ying Lin & Heng Ji & Morteza Dehghani, 2018. "Moralization in social networks and the emergence of violence during protests," Nature Human Behaviour, Nature, vol. 2(6), pages 389-396, June.
  • Handle: RePEc:nat:nathum:v:2:y:2018:i:6:d:10.1038_s41562-018-0353-0
    DOI: 10.1038/s41562-018-0353-0
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    Cited by:

    1. Colin Klein & Ritsaart Reimann & Ignacio Ojea Quintana & Marc Cheong & Marinus Ferreira & Mark Alfano, 2022. "Attention and counter-framing in the Black Lives Matter movement on Twitter," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    2. Meng-Jie Wang & Kumar Yogeeswaran & Kyle Nash & Sivanand Sivaram, 2024. "Morality and partisan social media engagement: a natural language examination of moral political messaging and engagement during the 2018 US midterm elections," Journal of Computational Social Science, Springer, vol. 7(2), pages 1699-1726, October.
    3. Niklas Potrafke & Felix Roesel, 2022. "Online Versus Offline: Which Networks Spur Protests?," CESifo Working Paper Series 9969, CESifo.
    4. Kyriaki Kalimeri & Mariano G. Beiró & Andrea Bonanomi & Alessandro Rosina & Ciro Cattuto, 2020. "Traditional versus Facebook-based surveys: Evaluation of biases in self-reported demographic and psychometric information," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(5), pages 133-148.
    5. Masías, Víctor Hugo & Crespo R., Fernando A. & Navarro R., Pilar & Masood, Razan & Krämer, Nicole C. & Hoppe, H. Ulrich, 2021. "On spatial variation in the detectability and density of social media user protest supporters," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 65, pages 1-1.
    6. Kelly Kirkland & Paul a M van Lange & Drew Gorenz & Khandis Blake & Catherine E Amiot & Liisi Ausmees & Peter Baguma & Oumar Barry & Maja Becker & Michal Bilewicz & Watcharaporn Boonyasiriwat & Robert, 2024. "High economic inequality is linked to greater moralization," Post-Print hal-04670509, HAL.

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