2019
DOI: 10.31235/osf.io/56cyb
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Digital self-harm: Prevalence, motivations and outcomes for teens who cyberbully themselves

Abstract: This research report presents findings about the extent and nature of digital self-harm among New Zealand teens. Digital self-harm is broadly defined here as the anonymous online posting or sharing of mean or negative online content about oneself. The report centres on the prevalence of digital self-harm (or self-cyberbullying) among New Zealand teens (aged 13-17), the motivations, and outcomes related to engaging in this behaviour. The findings described in this report are representative of the teenage popula… Show more

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Cited by 10 publications
(14 citation statements)
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“…Characteristic for this syndrome is that the patient inflicts self-harm in a quest for sympathy, attention, and admiration for their ability to cope with their (so-called) “victimization.” Patchin and Hinduja (2017) opted for the term digital self-harm , which they defined as “the anonymous online posting, sending, or otherwise sharing of hurtful content about oneself” (p. 2). They added that this conceptualization encompassed self-harm that occurred through “SMS, email, social media, gaming consoles, web forums, virtual environments, and any other online platform yet to be conceived.” Bjornsen (2018: 239) described “self-cyberbullying or fictitious cyberbullying” as a “disturbing online phenomenon that crosses the boundary between catfishing and cyberbullying.” Finally, Pacheco et al (2019) used the term digital self-harm to refer to “the anonymous online posting or sharing of mean or negative online content about oneself” (p. 1).…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Characteristic for this syndrome is that the patient inflicts self-harm in a quest for sympathy, attention, and admiration for their ability to cope with their (so-called) “victimization.” Patchin and Hinduja (2017) opted for the term digital self-harm , which they defined as “the anonymous online posting, sending, or otherwise sharing of hurtful content about oneself” (p. 2). They added that this conceptualization encompassed self-harm that occurred through “SMS, email, social media, gaming consoles, web forums, virtual environments, and any other online platform yet to be conceived.” Bjornsen (2018: 239) described “self-cyberbullying or fictitious cyberbullying” as a “disturbing online phenomenon that crosses the boundary between catfishing and cyberbullying.” Finally, Pacheco et al (2019) used the term digital self-harm to refer to “the anonymous online posting or sharing of mean or negative online content about oneself” (p. 1).…”
Section: Literature Reviewmentioning
confidence: 99%
“…In line with the findings of Englander (2012), boys were slightly more likely to participate in these two behaviors than girls (7.1% and 6.3% of the boys, and 5.3% and 4.2% of the girls). In the online survey conducted by Pacheco et al (2019, non-peer reviewed) in New Zealand between 20 July and 30 September 2018, among 1110 participants aged 13–17 years, respondents were asked “whether they have anonymously posted or shared online mean or harmful content about themselves in the past year.” Six percent of the respondents indicated they had engaged in this behavior, with 65% of them having done it more than once. There was no significant gender difference.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Another Netsafe study asked teens whether they have anonymously posted or shared mean or negative online content about themselves. Findings about the prevalence of this online behaviour, also known as digital self-harm, show that a small number of teens (6%) did engage in this activity in the prior year, that it was more prevalent among younger teenagers (13 and 14 years old), and that the overall purpose was to seek others' attention -some of the main reasons reported by teens included: making a joke, wanting to show resilience, looking for friends' sympathy, and/or seeking reassurance of friendship among other reasons (Pacheco, Melhuish, & Fiske, 2019). Findings from another New Zealand-based study suggest that teens 1 +/-6.2% maximum error for each year of age, and +/-4.0% for each age group: 9-11, 12-14 and 15-17-year-olds.…”
Section: Summary Of Findingsmentioning
confidence: 99%