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Article . 2018
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https://doi.org/10.31235/osf.i...
Article . 2019 . Peer-reviewed
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On the Actual Risk of Bystander Intervention: A Statistical Study Based on Naturally Occurring Violent Emergencies

A Statistical Study Based on Naturally Occurring Violent Emergencies
Authors: Lasse Suonperä Liebst; Marie Bruvik Heinskou; Peter Ejbye-Ernst;

On the Actual Risk of Bystander Intervention: A Statistical Study Based on Naturally Occurring Violent Emergencies

Abstract

Objectives: Bystander studies have rarely considered the victimization risk associated with intervention into violent, dangerous emergencies. To address this gap, we aim to identify factors that influence bystanders’ risk of being physically victimized. Methods: We observed bystander behavior from video surveillance footage of naturally occurring violence in night-time economy settings, and data was analyzed with a logistic regression model. Results: Data shows that approximately one out of six interventions results in some type of victimization, typically with a relatively low degree of severity. The bystander’s social group membership, the setting of the emergency, and the bystander’s intervention type are estimated as risk factors for victimization. Conclusions: Previous research suggests that a bystander’s social group membership with victims promotes intervention behavior. Our results expand the role of social group membership as being a factor that also influences whether the intervening bystander is victimized.

Country
Denmark
Keywords

violent behavior, CCTV footage, Social and Behavioral Sciences, bepress|Social and Behavioral Sciences|Sociology, SocArXiv|Social and Behavioral Sciences|Sociology, Crime, Law, and Deviance, bystander victimization, Sociology, bepress|Social and Behavioral Sciences|Sociology|Criminology, bepress|Social and Behavioral Sciences, group dynamics, video data analysis, SocArXiv|Social and Behavioral Sciences, SocArXiv|Social and Behavioral Sciences|Sociology|Crime, Law, and Deviance

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    31
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
Green
bronze