Mini Review
Effects of Cyber Bullying on Teenagers: a Short Review of Literature
Mir Ali Raza Talpur1, Tabinda Touseef2, Syed Daniyal Ahmed Jilanee1, Muhammad Mubashir Shabu3 and Ali Khan4*
1Liaquat National Medical College and Hospital, Pakistan
2Jinnah Medical and Dental College, Pakistan
3Karachi Medical and Dental College, Pakistan
4Dow University of Health and Sciences, Pakistan
Ali Khan, 4Dow University of Health and Sciences, Karachi, Pakistan.
Received Date: November 07, 2018; Published Date: November 26, 2018
Abstract
Among the numerous advantages of the internet, there is an unintended outcome of the internet’s extensive reach: the growing rate of harmful offences against children and teens. Cyber-bullying victimization has recently received a fair amount of attention due to some heart-breaking events orbiting in schools and even at homes. Although research has already demonstrated a number of serious consequences of cyber-victimization, many questions remain unanswered concerning the impact of cyber-bullying. This study gathers literature from 18 studies pieces together only the factors that kick-start cyber-bullying perpetration and victimization but also the effects of bullying on the victims as well as the bullies.
Keywords: Cyber-bully; Teenagers; Effects; Perpetrators; Victims
Introduction
Cyber-bullying interactions are usually defined as “repeated, harmful interactions which are deliberately offensive, humiliating, threatening, and power assertive, and are enacted using electronic equipment, such as cell (mobile) phones or the Internet, by one or more individuals towards another” [1]. It might be a continuation of real life bullying but can also exist on its own [2].
Smith et al divided cyber-bullying in seven sub-categories, namely: text message bullying, picture/ video clip bullying, phone call bullying, email bullying, chat-room bullying, bullying through instant messaging (18%) and bullying via websites among which picture/video clip and phone call were perceived to have the most impact [3]. Even though chat room, instant messaging and email bullying were perceived to have the least impact on the victim another study deems it most common among all (18% and 13.8%, respectively) [4].
Review of Literature
Literature search strategy
A thorough search of medical literature was conducted on Pubmed, Google scholar and Scopus databases. The key MeSH and non-MeSH terms were “Cyber-bully”, “teenagers”, “Effects”, “Perpetrators” and “Victims”. Literature search was confined to English language literature only. Medical literature from the past two decades was included in this research. Studies reporting the outcomes of cyber-bullying in healthy teenagers (13-19 years of age) were included whereas studies reporting psychological outcome in relation to other pathologies, victims primarily being older than 19 years of age and outcomes in mentally disabled subjects were excluded from the study.
Nature of harassment
The nature of harassment ranges from ignoring, disrespecting, threatening, calling names, spreading rumors, email bombing, picking on and ridiculing [4] to hiding names while sending SMS or when in a chat room, kicking someone out of a chat room, and violating the privacy of someone by a webcam [5].
Comparison with traditional bullying
Electronic communications allows perpetrators to maintain anonymity, access to a wide audience and 24/7 attainability. In addition, private nature of the communication devoid of non-verbal quos makes cyber-bullying different from traditional bullying. Perpetrators may feel reduced responsibility and accountability leaving victims more vulnerable [6-8].
Causes of cyberbullying perpetration
According to studies there was no correlation between age and cyber-bullying (p=0.39) [1]. Males were more likely to cyber-bully others than females (p=0.021) [9]. Only 43.6% of cyber-bullies thought that their bullying behavior was harsh to very harsh on the victims (Cyber victims: 66.4%), similarly, only 26% thought their actions had an impact on their victim’s life (Cyber victims: 34.6%). Those who bullied others scored higher on the peer relationship problems scale (p=0.001) [1]. Cyber-bully statuses were independently predicted by conduct (OR = 2.6; 95% CI, 1.5-4.5; P < .001) and hyperactivity problems (OR = 2.4; 95% CI, 1.4-3.9; P< .001) and pro-social problems (OR = 2.3; 95% CI, 1.5-3.4; P< .001). No significant difference was observed between children of two biological parents and children living in a family with other than two biological parents [4]. Traditional bullies tended to be cyberbullies as well (p < 0.001). Within a group of school bullies, 85.5% reported that they were also victims and even though almost 30% in this group were cyber-bullies, 27.3% were cyberbully victims [10].
Anonymity associated with electronic communication tools promotes cyberbullying and makes it difficult to prevent [7,10]. The frequencies of public school students who indicated being cyberbullies were higher than those of the private school students [5].
Although the frequent use of communication tools significantly promoted cyber-bullying in female students (p = 0.001), male students did not have the same effect (p =0.431). On the other hand, the role of risky internet use in promoting cyber-bullying was not significant for female students (p=0.721), it was significant for male students (p = 0.001) [11].
Causes of cyberbullying victimization
Age: Although a decrease is seen in exclusive school bullying from ages 14 (16.6%) to 18 (7.1%), cyber-bullying actually increases between the ages 14 (6.2%) to 18 (7.4%) [10].
Gender: Although some studies show no significant difference between the proportion of male and female adolescents who reported being bullied (p=0.91) [9]. There are reports indicating higher occurrence of cyber-bullying among females than males (18.3% vs 13.2%) [12,13].
Race/Ethnicity: Whites/Caucasians were more prone to be victimization [14].
Physical appearance: Females seen as less or more attractive than others were at the highest risk for harassment while some students were also targeted on the basis of disability [9].
Traditional bullying victim: Traditional bully victims were also likely to be cyber-victims (p = 0.022) [15].
Family composition: Cyber-victim only status was associated with living in a family with other than 2 biological parents (6.2% vs 4%) [4].
exual orientation: Youngsters who identified themselves as heterosexual were less likely to be victimized as compared to their non-heterosexual counterparts (6% vs 10.5%) [12].
School performance: Students who performed poorly in school (D & F grade holders) were more than twice as likely to be victims of either traditional or online harassment, or both, as compared to students who received A-grades (16.1% vs 7.4%) [12].
Technology use: The risky internet use and usage frequency predicted cyber-bullying victimization significantly when compared with traditional victimization among female (ΔR2 = .133, F (2, 83) = 6.78, p = .002) as well as male students (ΔR2 = .216, F (2, 108) = 15.98, p = .000). (11) In another study, Eric Rice reported high levels of texting (OR = 2.1; 95% CI = 1.1, 4.0; P < .05) and Internet use (OR = 2.0; 95% CI = 1.0, 3.64; P < .05) were associated with being a cyber-victim [14].
Type of school: Public school students reported experiencing cyber harassment more frequently than those studying in the private school [5].
Effects of cyberbullying on the perpetrator
The association between cyberbully perpetrator and their mental health and well-being is equally important to take under consideration. Many studies reported that cyberbullyng does not only has negative effects on the its victims but also on the perpetrator as well It was observed that 39% of students who harassed others online dropped out of school and 37% showed delinquent behavior [1]. About 32% of online harassers were frequent substance abusers, while some reported frequent smoking and drunkenness. A study reported that about 16% perpetrators were severely depressed [1] while in another study there reports of bullies feeling unsafe in school [4]. This study also states a strong correlation between psychiatric, psychosocial and psychosomatic disorders with being a cyberbully or a cybervictim [4]. With the rise of cyberbullying there arise a hypothesis that students who cyberbully may feel greatly powerful by taking the advantage of immense anonymity and by targeting much bigger and wider audience [16]. It has also been speculated that the lack of immediate retaliation by the victim may provoke perpetrator towards harsher bullying [17]. A study ny Gini et al has shown that bullies are morally capable enough to judge actions but still have potential deficiencies with respect to moral sentiments and appear to have high levels of moral disengagement which is why they lack empathy for victim [18].
Effects on cybervictims
In relation to combating cyber-bullying males responded more actively and with physically retaliatory behavior, whereas females’ responses indicated more passive and verbally retaliatory behavior [15]. About 1 in every 4 individuals reported fear for their safety most of whom most reported getting targeted by an adult. Sourander et al reported association between victimization and sleeping problems (p < 0.001), bed-wetting, headaches (p < 0.001), recurrent abdominal pain and stomachaches. The same study states that victims experience numerous perceived problems, social anxiety, emotional disturbances and peer problems [4]. Hoff et al in their study found that students who were the targets of cyber bully reported several negative psychological effects. They experienced high levels of aggressiveness, powerlessness, sadness, and fear [15]. Girls who were victimized by cyberbully were significantly (P=0.003) more likely to reports 2-week sadness (36% vs. 21%), suicidal ideation (19% vs. 12%), suicide plan (15% vs. 11%), attempt (10% vs. 6%), and treatment for attempt (3% vs. 2%) as compared to victimized boys. This study also shows a strong association of suicidality in teens with victimization of bully, especially cyberbully [19].
Students categorized as “other” race (20%) and Hispanics (14%) presented with higher suicide ideation, as well as were more likely to report having made a suicide attempt (10% and 11%, respectively) compared to Caucasians (6%) and African-Americans (8%) [19]. The analysis showed that female cybervictims were more likely to inform adults than males (p = 0.012) and among students who knew someone being cyber bullied, only 30.1% told adults with no correlation to gender [9]. Non-heterosexual groups were far more likely to report bullying (33.1% vs 14.5%) [12].
Both public and private school students revealed seeking help from their friends (28.6% vs 43.6%) however only a few of the public school students stated that they had asked for help from their teachers while none of the private school students reported asking help from them [5]. A study by ML Ybarra et al states that the victims of cyberbully undergoes variety of social problems which results in having them caught in detentions, suspensions and school avoiding behavior [20]. The same study shows that cyberbully victims experience paranoia due to which they tend to carry weapons with them [20]. The cyberbully victims are more likely to develop aggression against bullies and tend to become cyber bullies to take revenge and may experience the same negative impacts as being experienced by a perpetrator [20].
Interventions
Educating children: Warning from the dangers that lurk in cyber space and training of children must start at a young age, involving them in discussions about the dangers of bullying and how to by an ally when they see cyber-bullying behavior and who to report to? [15]
Educating teachers: Educators should become “safe contacts,” giving students a place to turn if they are victims or want to report perpetrators [15].
Educating parents: Monitoring their child’s online behavior, implementing internet usage rules and what to do if they discover that their child is a participant or a target is part of parent education in combating cyber-bullying [15]. The percentage of youth reporting the existence of parental rules on Web sites (p < 0.01), time allowed online (p < 0.01), and filter restricting online activities (p < 0.05) is higher among non-victims than among victims [13].
Role of school: Another role of schools is to help students cope with social tension especially those that center on relationship issues, assess of students in order to determine bullying behavior and get to the root of it [15].
Technological coping strategies: Instituting strict privacy settings on Internet-based technologies such as instant messengers and e-mails, changing usernames and or e-mail addresses [21].
Conclusion
Cyber-bullying is a multi-conceptual topic which requires immense research. After a thorough search of literature, we’ve concluded that cyber-bullying is one of the worst forms of bully which imparts its devastating effects on teenagers. Perpetrators of cyber-bully misuse the cyber resources in various ways to bully people online for the sake of their psychological satisfaction which badly influence the targeted victims as well as the active perpetrator.
A targeted victim, as a consequence of cyber-bully, may experience insecurities, poor school performance, addictions, psychosomatic disorders, retaliatory behavior, emotional distress, suicidal tendencies etc. This altogether adds to destruction of normal psychology of a teenager. Cyber-bullying also impacts the perpetrators with serious psychosomatic, psychiatric and psychosocial disorders. All the individuals involved in cyber-bully, either as a victim or a perpetrator, face some serious outcomes of this problem which can only be reduced by active measures to combat it.
Acknowledgment
None.
Conflict of Interest
Authors declare no conflict of interest.
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Mir Ali Raza Talpur, Tabinda Touseef, Syed Daniyal Ahmed Jilanee, Muhammad Mubashir Shabu, Ali Khan. Effects of Cyber Bullying on Teenagers: a Short Review of Literature. Open Access J Addict & Psychol. 1(3): 2018. OAJAP.MS.ID.000511.
Disability, Physical disability, Disease Control, Prevention, Quality of life, Optimism, Nigerian, Diabetes, Comorbidity, Behaviour, Optimistic, Neurological, Cognitive, Mental capacity, Cyber-bullying, Internet Addiction, Hacking, Phone, Cybervictim
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