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#WhyITold: A Pilot Test of Twitter Messages Aimed at Promoting Bystander Intervention against Domestic Violence

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  • Norman C. H. Wong
  • Eryn Bostwick

Abstract

This study examined the effectiveness of various messaging via Twitter in persuading bystanders of domestic violence (DV) to intervene on behalf of DV victims. Using Fishbein¡¯s (2000) integrative model of behavioral prediction as a guiding framework, an experiment was conducted with 196 undergraduates from a large Southwestern university. Participants were randomly assigned to read either a: (1) tweet describing warning signs associated with DV motivating bystander intervention, (2) gain or loss framed tweet emphasizing why a bystander chose to intervene, or (3) control tweet that simply provided statistics on the prevalence of DV in the U.S. Results indicate injunctive norms were the best predictor of participants¡¯ intent to intervene in a DV situation, and that the most effective approach to promoting bystander intervention is to highlight warning signs of DV. Implications for practice are also discussed.

Suggested Citation

  • Norman C. H. Wong & Eryn Bostwick, 2017. "#WhyITold: A Pilot Test of Twitter Messages Aimed at Promoting Bystander Intervention against Domestic Violence," Studies in Media and Communication, Redfame publishing, vol. 5(2), pages 166-175, December.
    • Handle: RePEc:rfa:smcjnl:v:5:y:2017:i:2:p:166-175
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    References listed on IDEAS

    as
    1. Martin Fishbein, 2008. "A Reasoned Action Approach to Health Promotion," Medical Decision Making, , vol. 28(6), pages 834-844, November.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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