Cyber violence: What do we know and where do we go from here?

Peterson, Jillian K.; Densley, James A.

doi:10.1016/j.avb.2017.01.012

Cited by 129 publications

(92 citation statements)

References 84 publications

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“…However, more research based knowledge is needed on why hostile online behavior emerges and how it changes over time. Individual and interaction level explanations (see Peterson & Densley, 2017) can reveal why some individuals and social contexts are more prone to online hostility. However, these explanations do not cover the fact that hate content spreading in social media appear to mainly attack certain social categories and this selectivity is shaped by temporal societal conditions.…”

Section: Discussionmentioning

confidence: 99%

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Did the risk of exposure to online hate increase after the November 2015 Paris attacks? A group relations approach

Kaakinen

Oksanen

Rsnen

2018

Computers in Human Behavior

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This study analyzed the impact of the November 2015 Paris attacks on online hate. On the basis of social identity based theories of group relations, we hypothesized that exposure to online hate will increase in social climate of fear, uncertainty, and polarization. We expected that the increase of hate will be evident in the case of online hate associated to ethnicity or nationality, religion, political views, or terrorism, but not specifically other hate-associated categories. Societal level determinants of the temporal changes in online hate exposure have not been tested before. Our study utilized two cross-sectional, demographically balanced datasets to analyze the change in online hate exposure among Finnish young people aged 15 to 30. The first sample was collected in May-June 2013 and the second one in December 2015, only 1 month after the November 2015 Paris attacks. The results supported the hypotheses indicating that the quantity and quality of online hostilities are affected by the wider societal conditions. We suggest that more evidence of societal level determinants of online hostility is needed in order to understand online hate exposure rates at different times.

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Section: Discussionmentioning

confidence: 99%

“…anonymity, ONLINE HATE AFTER PARIS ATTACKS 3 low social control and group norms) (for review see e.g. Peterson & Densley, 2017). These correlates can explain why certain individuals and interactional contexts make hostile online behavior more probable.…”

Section: Group Relations Approachmentioning

confidence: 99%

Did the risk of exposure to online hate increase after the November 2015 Paris attacks? A group relations approach

Kaakinen

Oksanen

Rsnen

2018

Computers in Human Behavior

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“…In 2017, Women's Aid published the All-Party Parliamentary Group on Domestic Violence and Abuse report 6 on online abuse, calling for the government, judiciary and relevant agencies to recognise the harm caused by it. In recent years, distinct forms of online harassment and sexual abuse have emerged 7,8,9 , ranging from cyberstalking to surveillance through the usage of spyware (i.e., software that aims to gather information about a person without their knowledge) 10 . The charity Refuge has documented more than 920 tech abuse cases since January 2018 11,12 , with many support organisations having slowly begun to provide guidance and training on the safe use of digital technologies.…”

Section: The Rise Of Tech Abusementioning

confidence: 99%

‘Internet of Things’: How Abuse is Getting Smarter

et al. 2019

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“…In recent literature, integrative models including personal and situational risk factors are suggested for explaining violent and criminal behavior [24,25,26] and online aggression [27]. In integrated models, different determinants of antisocial behavior are combined to reach more comprehensive conclusions.…”

Section: Introductionmentioning

confidence: 99%

Impulsivity, internalizing symptoms, and online group behavior as determinants of online hate

et al. 2020

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Online hate is widely identified as a social problem, but its social psychological dimensions are yet to be explored. We used an integrative social psychological framework for analyzing online hate offending and found that both personal risk factors and online group behavior were associated with online hate offending. Study 1, based on socio-demographically balanced survey data (N = 1200) collected from Finnish adolescents and young adults, found that impulsivity and internalizing symptoms were positively associated with online hate offending. Furthermore, social homophily was positively associated with online hate offending but only among those with average or high level of internalizing symptoms. Social identification with online communities was not associated with hate offending. In Study 2, based on a vignette experiment (N = 160), online hate offenders were more likely than others to rely on in-group stereotypes (i.e. self-stereotype) in anonymous online interaction and, as a consequence, follow perceived group norms. These associations were found only when a shared group identity was primed. We conclude that both personal risk factors and group behavior are related to online hate but they have different implications for reducing hateful communication in social media.

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Cyber violence: What do we know and where do we go from here?

Cited by 129 publications

References 84 publications

Did the risk of exposure to online hate increase after the November 2015 Paris attacks? A group relations approach

Did the risk of exposure to online hate increase after the November 2015 Paris attacks? A group relations approach

‘Internet of Things’: How Abuse is Getting Smarter

Impulsivity, internalizing symptoms, and online group behavior as determinants of online hate

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