Social Media Use as a Tool to Facilitate or Reduce Cyberbullying Perpetration: A Review Focusing on Anonymous and Nonanonymous Social Media Platforms

BarlettChristopher, P; DeWittCaroline, C; MaronnaBrittany,; JohnsonKaleigh,

doi:10.1089/vio.2017.0057

Cited by 40 publications

(21 citation statements)

References 36 publications

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“…As suggested by the example we used at the beginning of this article, third parties may not communicate directly with victims, but they can still make their opinions known in online forums such as the comments sections of news articles. Especially when third parties post anonymously, their comments may be particularly impolite or mean-spirited (Barlett et al, 2018). If victims turn to social media for support, they may instead encounter critical and invalidating opinions.…”

Section: Discussionmentioning

confidence: 99%

Judging extreme forgivers: How victims are perceived when they forgive the unforgivable

Eaton

Olenewa

Norton

2021

International Review of Victimology

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When one individual commits a transgression or aggressive act against another, third parties often have expectations about how the victim should respond, even when they do not have any personal involvement in the event. When their justice expectations are violated, such as when a victim forgives the offender for an act that third parties deem too heinous to forgive, third parties may react in a way that is critical of the victim. This research examines how third-party observers react when victims forgive seemingly ‘unforgivable’ offences. Study 1, a scenario-based experiment, showed that although third parties were not directly critical of a forgiving victim, they did not agree with the decision to forgive. Study 2 replicated these findings and explored in more depth third parties’ justice-related feelings about the transgression and the victim, using both quantitative and qualitative data. Results suggest that although third parties are reluctant to directly criticize ‘extreme’ forgivers, they are not supportive of their decision to forgive. This could have implications for victims, who may interpret this disagreement with their choice as a lack of support.

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Section: Discussionmentioning

confidence: 99%

Judging extreme forgivers: How victims are perceived when they forgive the unforgivable

Eaton

Olenewa

Norton

2021

International Review of Victimology

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“…They stated that the more disguised people are, the chances of them cyberbullying increases (Barlett, Gentile, & Chew, 2016;Waheed, Kaur, Ain, & Hussain, 2016). The BGCM model is the only psychological model (Barlett, DeWitt, Maronna, & Johnson, 2018) that shows a relationship between cyberbullying and anonymity; therefore, it is highly signi􀅫icant work to the study being conducted. Previous literature has also shown that anonymity is associated with cyberbullying.…”

Section: Literature Review Online Anonymity and Cyberbullyingmentioning

confidence: 99%

ID verification to control cyberbullying: Juxtaposing the need and promise, with users' willingness

Ortigas¹,

Khan²,

Basit³

et al. 2021

J. adv. humanit. soc. sci.

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This study was conducted to investigate the idea of implementing identity veri􀅫ication to reduce cyberbullying prevalence in social media. Quantitative approach was used for this study through the use of a survey that was conducted in google forms. A total of 73 people participated in this study. Among all respondents, 83.5% think Identity Veri􀅫ication will decrease cyberbullying frequency. However, only 54.8% of the participants are willing to link their IDs to control cyberbullying. It was seen that privacy and security issues were the main reason the other participants opposed it. The survey results have also supported the previous literature about the relationship between anonymity and cyberbullying. The study has positive results regarding the implementation of Identity Veri􀅫ication, as seen in the participants' results. However, it's perceived that security and privacy issues must be 􀅫irst addressed. Further studies should be conducted on implementing identity veri􀅫ication in social media. Solutions to privacy and security concerns, especially the idea of blockchain, should be considered.

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“…Cyber aggression, which here refers to intentional electronic communication intended to insult or harm an individual, remains particularly problematic. This electronic form of aggression can provide perpetrators with a sense of anonymity, which makes it easier to engage in harmful communication without the fear of direct retribution (Bartlett et al 2018). Forms of online harassment also carry the serious risk that an attack can spread far beyond the original incident, potentially reaching a broad network of social media users and multiplying the embarrassment and harm experienced by the victim.…”

Section: Cyber Aggressionmentioning

confidence: 99%

Sexist Slurs: Reinforcing Feminine Stereotypes Online

2019

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Social media platforms are accused repeatedly of creating environments in which women are bullied and harassed. We argue that online aggression toward women aims to reinforce traditional feminine norms and stereotypes. In a mixed methods study, we find that this type of aggression on Twitter is common and extensive and that it can spread far beyond the original target. We locate over 2.9 million tweets in one week that contain instances of gendered insults (e.g., "bitch," "cunt," "slut," or "whore")-averaging 419,000 sexist slurs per day. The vast majority of these tweets are negative in sentiment. We analyze the social networks of the conversations that ensue in several cases and demonstrate how the use of "replies," "retweets," and "likes" can further victimize a target. Additionally, we develop a sentiment classifier that we use in a regression analysis to compare the negativity of sexist messages. We find that words in a message that reinforce feminine stereotypes inflate the negative sentiment of tweets to a significant and sizeable degree. These terms include those insulting someone's appearance (e.g., "ugly"), intellect (e.g., "stupid"), sexual experience (e.g., "promiscuous"), mental stability (e.g., "crazy"), and age ("old"). Messages enforcing beauty norms tend to be particularly negative. In sum, hostile, sexist tweets are strategic in nature. They aim to promote traditional, cultural beliefs about femininity, such as beauty ideals, and they shame victims by accusing them of falling short of these standards.

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Social Media Use as a Tool to Facilitate or Reduce Cyberbullying Perpetration: A Review Focusing on Anonymous and Nonanonymous Social Media Platforms

Cited by 40 publications

References 36 publications

Judging extreme forgivers: How victims are perceived when they forgive the unforgivable

Judging extreme forgivers: How victims are perceived when they forgive the unforgivable

ID verification to control cyberbullying: Juxtaposing the need and promise, with users' willingness

Sexist Slurs: Reinforcing Feminine Stereotypes Online

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