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University Students’ Perceptions and Reactions to Cyberbullying on Social Media: The Case of Türkiye
Abstract
With cyberbullying emerging as a significant concern in contemporary society, understanding its prevalence, forms, and impacts is crucial for developing effective intervention strategies. This study aims to delve into the underlying factors contributing to cyberbullying incidents among university students. Employing quantitative methodologies, this research utilized a questionnaire comprising multiple-choice, scaled responses, and open-ended questions to explore students’ encounters, perceptions, and responses to cyberbullying. The study’s development was informed by theoretical frameworks and existing literature, with data analysis conducted using the Statistical Package for the Social Sciences (SPSS). The sample comprised 392 participants, predominantly female (79.1 percent) and Turkish (98.7 percent). Most participants were 18–21 (46.9 percent) and 21–25 (41.3 percent). The majority (84.9 percent) were studying at a state university. The study reveals a widespread acknowledgment of cyberbullying as a severe problem among social media users, particularly prevalent on platforms like Instagram and TikTok. Offensive comments and hate speech were identified as dominant forms of cyberbullying, alongside newer tactics like emoji-based ridicule. Participant responses ranged from passive bystander behavior to active intervention, reflecting diverse coping mechanisms and strategies. The findings underscore the need for comprehensive approaches to combat cyberbullying, including educational programs, institutional support mechanisms, and interventions promoting digital citizenship. Furthermore, fostering peer support networks and enhancing awareness in university settings is crucial for effectively addressing cyberbullying. The study highlights various intervention areas and approaches to mitigate the impact of cyberbullying and promote a healthier digital environment. Future research should continue exploring the underlying motivations and barriers to seeking help, aiming to develop targeted strategies for prevention and intervention.
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Background
Cyberbullying is becoming common in inflicting harm on others, especially among adolescents. This study aims to assess the prevalence of cyberbullying, determine the risk factors, and assess the association between cyberbullying and the psychological status of adolescents facing this problem in the Jazan region, Saudi Arabia.
Methods
A cross-sectional study was conducted on 355 students, aged between 12–18 years, through a validated online questionnaire to investigate the prevalence and risk factors of cyberbullying and assess psychological effects based on cyberbullying questionnaire and Mental Health Inventory-5 (MHI-5) questions.
Results
The participants in this study numbered 355; 68% of participants were females compared to 32% were males. Approximately 20% of the participants spend more than 12 h daily on the Internet, and the estimated overall prevalence of cyberbullying was 42.8%, with the male prevalence slightly higher than females. In addition, 26.3% of the participants were significantly affected in their academic Performance due to cyberbullying. Approximately 20% of all participants considered leaving their schools, 19.7% considered ceasing their Internet use, and 21.1% considered harming themselves due to the consequences of cyberbullying. There are essential links between the frequency of harassment, the effect on academic Performance, and being a cyber victim.
Conclusions
Cyberbullying showed a high prevalence among adolescents in the Jazan region with significant associated psychological effects. There is an urgency for collaboration between the authorities and the community to protect adolescents from this harmful occurrence.
School bullying and cyberbullying represent the most common forms of victimization during childhood and adolescence in many countries across the globe. Although they can be studied as distinct phenomena with their own defining characteristics, there is evidence to suggest that they are related and often co-occur. The present research aimed to estimate the rates of school bullying and cyberbullying, studied their evolution by age, and analyzed any possible overlap between the two. An empirical study was carried out with a large sample of children and adolescents in Galicia, Spain (N = 2083), where 10–17 year olds were presented with The European Bullying Intervention Project Questionnaire and European Cyberbullying Intervention Project Questionnaire. School bullying was found to be more prevalent than cyberbullying, with 25.1% involved as victims and 14.3% as bully-victims, while the cyberbullying rates were 9.4% for victims and 5.8% for bully-victims. Perpetration rates were similar for school and cyberbullying (4.4% and 4.3% respectively). The overlap between both phenomena adds to the evidence for a whole-community approach to tackling all types of bullying and victimization experiences, as opposed to each in silo. The clear age differences in bullying behaviours also suggest the appropriateness of tailoring anti-bullying programs to target specific age groups.
From an increasingly early age, parents face the challenge of educating their sons and daughters to act in the world of offline and online relationships. If for professional educators it is not proving easy, the involvement and guidance of parents in their children′s use of the internet seems to be a complex and unexplored challenge. This work aims to analyse the variables that influence digital education and determine a predictive model of positive parental involvement. This study was done with a representative sample consisting of five hundred and ninety-six families (596), representing the parents of children from schools with similar socio-cultural indexes. To do this, and using self-report instruments convertible into independent scales, four predictor variables were analysed: (1) parental knowledge of cyberbullying; (2) perception of parental competence in this regard; (3) parental perception of online risks; and (4) the attribution of parental responsibility in digital education. A structural equations model (SEM) examined the predictive value of these variables with respect to positive parental involvement. The structural equations model confirmed direct and mediated relationships between the independent and mediating variables on the dependent variable: parental supervision. The results indicate that positive parental involvement can be predicted from higher scores in parental knowledge of cyberbullying, perception of parental competence, risk adjustment, and attribution of parental responsibility.
Background
There is a worldwide interest that has been dedicated to discovering the impact of online video games on mental health among young gamers and its association with the risk of cyberbullying. Many studies have suggested that cyberbullying is associated with the development of depression. To our knowledge, there are no studies that have been carried out in Saudi Arabia that addressed such a topic.
Objective
The objective of this study is to estimate the prevalence of cyberbullying among Saudi online video gamers, and it is associated risk to the development of depression.
Methods
Using an anonymous online questionnaire posted on social media, a total of 143 caregivers of young Saudi gamers agreed to complete the questionnaire. The questionnaire examined multiple factors including addressing the act of cyberbullying for their association with developing depression. The Patient Health Questionnaire-9 was used to evaluate for depression.
Results
Out of 143 gamers, 30 reported being cyberbullied as disclosed by their caregivers, half of which showed depressive symptoms. This had a statistical significance of P = 0.00001. Online chatting was associated with an increased risk of being cyberbullied.
Conclusion
The trend of cyberbullying among young gamers is alarming. Depression and suicidality are strongly associated with such phenomena. The impact on emotional and behavioral changes among this group of individuals is encouraged to be further addressed and investigated.
Introduction:
Bullying is an aggressive, intentional act carried out by a group or an individual repeatedly and over time against a victim who cannot easily defend himself or herself. However, with the advent of electronic communication via the internet and mobile phones has led to appearence of a new form of violence, i.e. cyberbullying. Cyberbullying is define as "willful and repeated harm inflicted through computer, cell phones and other electronic device". The aim of this paper is to point to the growing problem of cyberbullying.
Methods:
Review the research and theoretical literature.
Results:
Bullying through the Internet tends to occur at a later age, around 14 years, when children spend more time on their mobile phones and social networking sites. Estimates indicate that between 15% and 35% of young people have been victims of cyberbullying and between 10% and 20% of individuals admit to having cyberbullied others. Perpetrators of cyberbullying have a degree of anonymity not possible in traditional bullying, and the potential exposure and embarrassment of the victim is on a larger scale. It is possible to victimize a peer within their own home or elsewhere at any time of day or night, and should they remove themselves from the site, the messages often accumulate. Victims of bullying often have mental health problems, including depressive symptomatology, self-harm and suicidal behaviors.
Conclusions:
This presents new challenges for individuals, families, schools, professionals, researchers, and policy makers.
Due to the negative consequences of being bullied and the increase in cyberbullying among adolescents, there is a need for evidence-based programs to prevent and intervene in these types of peer violence. The aim of this study was to evaluate the effectiveness of the Prev@cib bullying and cyberbullying program, drawing on three theoretical frameworks: the ecological model, empowerment theory, and the model of personal and social responsibility. The Prev@cib program was evaluated using a repeated-measures pre-post-test design with an experimental group and a control group. The sample consisted of 660 adolescents between 12 and 17 years old (M = 13.58, SD = 1.26), randomly assigned to the experimental and control groups. Repeated-measures ANOVA of pre-post-test scores were conducted. Results showed a significant decrease in bullying and victimization and cyberbullying and cybervictimization in the experimental group, compared to the control group, indicating that the Prev@cib program is effective in reducing bullying and cyberbullying. Taking into account the harmful effects of these types of violence, the results have important implications in the prevention of these behaviors because they provide scientific evidence of the program's effectiveness.
Aims
Previous research has found links between cyberbullying victimisation and internalising and externalising problems among adolescents. However, little is known about the factors that might moderate these relationships. Thus, the present study examined the relationships between cyberbullying victimisation and psychological distress, suicidality, self-rated poor mental health and substance use among adolescents, and tested whether parent–child relationship and child's sex would moderate these relationships.
Methods
Self-report data on experiences of cyberbullying victimisation, self-rated poor mental health, psychological distress, suicidality and substance use were derived from the 2013 Ontario Student Drug Use and Health Survey, a province-wide school-based survey of students in grades 7 through 12 aged 11–20 years ( N = 5478). Logistic regression models adjusted for age, sex, ethnicity, subjective socioeconomic status and involvement in physical fighting, bullying victimisation and perpetration at school.
Results
Cyberbullying victimisation was associated with self-rated poor mental health (adjusted odds ratio (OR) 2.15; 95% confidence interval (CI) 1.64–2.81), psychological distress (OR 2.41; 95% CI 1.90–3.06), suicidal ideation (OR 2.38; 95% CI 1.83–3.08) and attempts (OR 2.07; 95% CI 1.27–3.38), smoking tobacco cigarette (OR 1.96; 95% CI 1.45–2.65), cannabis use (OR 1.82; 95% CI 1.32–2.51), and binge drinking (OR 1.44; 95% CI 1.03–2.02). The association between cyberbullying victimisation and psychological distress was modified by parent–child relationship and child's sex (three-way interaction term p < 0.05). The association between cyberbullying victimisation and psychological distress was much stronger among boys who have a negative relationship with their parents.
Conclusions
Findings suggest that cyberbullying victimisation is strongly associated with psychological distress in most adolescents with the exception of males who get along well with their parents. Further research using a longitudinal design is necessary to disentangle the interrelationship among child's sex, parent–child relationship, cyberbullying victimisation and mental health outcomes among adolescents in order to improve ongoing mental health prevention efforts.
Background:
Given the concerns about bullying via electronic communication in children and young people and its possible contribution to self-harm, we have reviewed the evidence for associations between cyberbullying involvement and self-harm or suicidal behaviors (such as suicidal ideation, suicide plans, and suicide attempts) in children and young people.
Objective:
The aim of this study was to systematically review the current evidence examining the association between cyberbullying involvement as victim or perpetrator and self-harm and suicidal behaviors in children and young people (younger than 25 years), and where possible, to meta-analyze data on the associations.
Methods:
An electronic literature search was conducted for all studies published between January 1, 1996, and February 3, 2017, across sources, including MEDLINE, Cochrane, and PsycINFO. Articles were included if the study examined any association between cyberbullying involvement and self-harm or suicidal behaviors and reported empirical data in a sample aged under 25 years. Quality of included papers was assessed and data were extracted. Meta-analyses of data were conducted.
Results:
A total of 33 eligible articles from 26 independent studies were included, covering a population of 156,384 children and young people. A total of 25 articles (20 independent studies, n=115,056) identified associations (negative influences) between cybervictimization and self-harm or suicidal behaviors or between perpetrating cyberbullying and suicidal behaviors. Three additional studies, in which the cyberbullying, self-harm, or suicidal behaviors measures had been combined with other measures (such as traditional bullying and mental health problems), also showed negative influences (n=44,526). A total of 5 studies showed no significant associations (n=5646). Meta-analyses, producing odds ratios (ORs) as a summary measure of effect size (eg, ratio of the odds of cyber victims who have experienced SH vs nonvictims who have experienced SH), showed that, compared with nonvictims, those who have experienced cybervictimization were OR 2.35 (95% CI 1.65-3.34) times as likely to self-harm, OR 2.10 (95% CI 1.73-2.55) times as likely to exhibit suicidal behaviors, OR 2.57 (95% CI 1.69-3.90) times more likely to attempt suicide, and OR 2.15 (95% CI 1.70-2.71) times more likely to have suicidal thoughts. Cyberbullying perpetrators were OR 1.21 (95% CI 1.02-1.44) times more likely to exhibit suicidal behaviors and OR 1.23 (95% CI 1.10-1.37) times more likely to experience suicidal ideation than nonperpetrators.
Conclusions:
Victims of cyberbullying are at a greater risk than nonvictims of both self-harm and suicidal behaviors. To a lesser extent, perpetrators of cyberbullying are at risk of suicidal behaviors and suicidal ideation when compared with nonperpetrators. Policy makers and schools should prioritize the inclusion of cyberbullying involvement in programs to prevent traditional bullying. Type of cyberbullying involvement, frequency, and gender should be assessed in future studies.
Green products are among the widely used products worldwide due to their environmental benefits. However, information on the consumers' purchase intention towards green products in developing countries, such as Thailand, is lacking. This study aims to investigate Thai consumers who are aged over 18 years, and whose base education is high school, on purchase intention for green products by using an extended framework of the theory of planned behavior (TPB). We derived and examined the model through structural equation modeling in a sample of 483 respondents in Thailand. The findings of this model indicated that consumer attitude, subjective norm and perceived behavioral control have significant positive influences on the purchase intention for green products. Furthermore, our results indicated that environmental concerns have a significant effect on attitude, perceived behavioral control and purchase intention for green products, but subjective norm. Moreover, environmental knowledge had no significant effect on the purchase intention for green products. Instead, it had a distinct indirect effect through attitude towards purchasing green products, subjective norm and perceived behavioral control. The findings from this study contribute to improving the understanding of intention to purchase green products, which could play a major role towards sustainable consumption.
Cyberbullying is an emerging issue in the context of higher education as information and communication technologies (ICT) increasingly become part of daily life in university. This paper presents findings from 1925 student surveys from four Canadian universities. The overall findings are broken down to determine gender similarities and differences that exist between male and female respondents’ backgrounds, ICT usage, experiences with cyberbullying, opinions about the issue, and solutions to the problem. We also examine the continuities between these findings and those of earlier studies on cyberbullying among younger students. Our findings also suggest that gender differences, which do emerge, provide some support for each of the three theoretical frameworks considered for understanding this issue, that is, relational aggression, cognitive-affective deficits, and power and control. However, none of these three models offers a full explanation on its own. The study thus provides information about cyberbullying behaviour at the university level, which has the potential to inform the development of more appropriate policies and intervention programs/solutions to address the gendered nature of this behaviour.
Recent surveys show that cyber bullying is a pervasive problem in North America. Many news stories have reported cyber bullying incidents around the world. Reports on the prevalence of cyber bullying and victimization as a result of cyber bullying increase yearly. Although we know what cyber bullying is it is important that we learn more about the psychological effects of it. Therefore, the aim of the current study is to investigate the relationship between psychological needs and cyber bullying. Participants of the study included 666 undergraduate students (231 males and 435 females) from 15 programs in the Faculty of Education at Selcuk University, Turkey. Questions about demographics, engagement in and exposure to cyber bullying, and the Adjective Check List were administered. 22.5% of the students reported engaging in cyber bullying at least one time, and 55.3% of the students reported being victims of cyber bullying at least once in their lifetime. Males reported more cyber bullying behavior than females. Results indicate that aggression and succorance positively predict cyber bullying wheras intraception negatively predict it. In addition, endurance and affiliation negatively predict cyber victimization. Only the need for change was found as a positive, but weak predictor of cyber victimi zatiotin. In light of these findings, aggression and intraception should be investigated further in future research on cyber bullying.
Although the Internet has transformed the way our world operates, it has also served as a venue for cyberbullying, a serious form of misbehavior among youth. With many of today's youth experiencing acts of cyberbullying, a growing body of literature has begun to document the prevalence, predictors, and outcomes of this behavior, but the literature is highly fragmented and lacks theoretical focus. Therefore, our purpose in the present article is to provide a critical review of the existing cyberbullying research. The general aggression model is proposed as a useful theoretical framework from which to understand this phenomenon. Additionally, results from a meta-analytic review are presented to highlight the size of the relationships between cyberbullying and traditional bullying, as well as relationships between cyberbullying and other meaningful behavioral and psychological variables. Mixed effects meta-analysis results indicate that among the strongest associations with cyberbullying perpetration were normative beliefs about aggression and moral disengagement, and the strongest associations with cyberbullying victimization were stress and suicidal ideation. Several methodological and sample characteristics served as moderators of these relationships. Limitations of the meta-analysis include issues dealing with causality or directionality of these associations as well as generalizability for those meta-analytic estimates that are based on smaller sets of studies (k < 5). Finally, the present results uncover important areas for future research. We provide a relevant agenda, including the need for understanding the incremental impact of cyberbullying (over and above traditional bullying) on key behavioral and psychological outcomes. (PsycINFO Database Record (c) 2014 APA, all rights reserved).
The aim of this study was to determine the prevalence of harassment in high school and into university, and the impact of one particular form of harassment: cyber-harassment. Participants were 1,368 students at one US and two Canadian universities (mean age = 21.1 years, 676 female students). They responded on five-point scales to questions about the frequency and impact of harassment. A total of 33.6% of students stated they had been cyber-harassed and 28.4% had been harassed off-line when in high school. Also, 8.6% were cyber-harassed and 6.4% were harassed off-line while in university. Hierarchical logistic regression analyses show that the type of harassment experienced in high school is associated with the type of harassment experienced in university. Various negative outcomes of cyber-harassment were also identified.
Participants were 439 college students who were asked how often they had experienced each of a series of bullying behaviors since they have been in college. Results indicated that 38% of college students knew someone who had been cyberbullied, 21.9% had been cyberbullied, and 8.6% had cyberbullying someone else. It was apparent that some forms of electronic media are more commonly used to cyberbully others than are other forms. All the cyberbullying behaviors and traditional bullying behaviors were significantly positively inter-correlated. There were no significant gender or ethnic group differences in any of the cyberbullying behaviors.
Cyber bullying is a psychologically devastating form of social cruelty among adolescents. This paper reviews the current policy vacuum of the legal obligations and expectations of schools to monitor and supervise online discourse, while balancing student safety, education, and interaction in virtual space. The paper opens with a profile and conditions of cyber bullying using an analogy to Golding's (1954), Lord of the Flies. The anarchy and deterioration of unsupervised adolescent relationships depicted in the book are compared to the deterioration of social relationships among adolescents in virtual space. A discussion of the institutional responses to cyber bullying follows. Finally, emerging and established law is highlighted to provide guidelines to help schools reduce cyber bullying through educational means that protect students and avoid litigation.
This study examined the relationships between cyber and traditional bullying experiences regarding gender differences. Also, the contributions of frequent and risky usage of internet to cyberbullying experiences were examined. The participants were 276 adolescents (123 females, 151 males and 2 unknown) ranging in age from 14 to 18 years. The results revealed that 32 percent of the students were victims of both cyber and traditional bullying, while 26 percent of the students bullied others in both cyber and physical environments. Compared to female students, male students were more likely to be bullies and victims in both physical and cyber-environments.The multivariate statistical analysis indicated that cyber and traditional bullying were related for male students but not for female students. Moreover, the multiple regression analysis revealed that both frequent and risky usage of internet account for a significant variance of cyberbullying but their contributions differ based on genders. © The Autho
Empirical studies and some high-profile anecdotal cases have demonstrated a link between suicidal ideation and experiences with bullying victimization or offending. The current study examines the extent to which a nontraditional form of peer aggression--cyberbullying--is also related to suicidal ideation among adolescents. In 2007, a random sample of 1,963 middle-schoolers from one of the largest school districts in the United States completed a survey of Internet use and experiences. Youth who experienced traditional bullying or cyberbullying, as either an offender or a victim, had more suicidal thoughts and were more likely to attempt suicide than those who had not experienced such forms of peer aggression. Also, victimization was more strongly related to suicidal thoughts and behaviors than offending. The findings provide further evidence that adolescent peer aggression must be taken seriously both at school and at home, and suggest that a suicide prevention and intervention component is essential within comprehensive bullying response programs implemented in schools.
Cyberbullying describes bullying using mobile phones and the internet. Most previous studies have focused on the prevalence of text message and email bullying.
Two surveys with pupils aged 11-16 years: (1) 92 pupils from 14 schools, supplemented by focus groups; (2) 533 pupils from 5 schools, to assess the generalisability of findings from the first study, and investigate relationships of cyberbullying to general internet use. Both studies differentiated cyberbullying inside and outside of school, and 7 media of cyberbullying.
Both studies found cyberbullying less frequent than traditional bullying, but appreciable, and reported more outside of school than inside. Phone call and text message bullying were most prevalent, with instant messaging bullying in the second study; their impact was perceived as comparable to traditional bullying. Mobile phone/video clip bullying, while rarer, was perceived to have more negative impact. Age and gender differences varied between the two studies. Study 1 found that most cyberbullying was done by one or a few students, usually from the same year group. It often just lasted about a week, but sometimes much longer. The second study found that being a cybervictim, but not a cyberbully, correlated with internet use; many cybervictims were traditional 'bully-victims'. Pupils recommended blocking/avoiding messages, and telling someone, as the best coping strategies; but many cybervictims had told nobody about it.
Cyberbullying is an important new kind of bullying, with some different characteristics from traditional bullying. Much happens outside school. Implications for research and practical action are discussed.
The sudden emergence of the COVID‐19 pandemic has introduced new norms largely revolving around the use of social media, disrupting the mentality of Internet users, especially the youth, resulting in an increase in cyberbullying. The rise in the popularity of many apps that facilitate online interactions has increased the risk of cyberbullying incidents. Not only did the COVID‐19 pandemic transform social life, work, and education towards online modes of interaction, but it has also contributed to the ongoing digitization of bullying. As work moved to the home, so did bullying. This study aims to understand how the COVID‐19 pandemic, which affects social media usage, increases the incidence of cyberbullying. We tested our hypotheses using a sample of 200 Malaysian participants. The results showed that the relationship between the COVID‐19 pandemic's influence and cyberbullying was significant. However, we failed to find any statistical evidence that gender moderates this relationship. This study found an increase in cyberbullying incidents resulting from the increased use of social media due to the COVID‐19 pandemic's influence. Our findings contribute to the body of knowledge on the prevalence of cyberbullying in Malaysia, which may benefit future research.
Purpose
Cyber-bullying is a form of harassment that is perpetrated using electronic media. The practice has become increasingly common especially with the growing ubiquity of social media platforms. Most cyber-bullying cases inevitably occur on Facebook because it is the most preferred social media platform. However, little is known about cyber-bullying research in Kenya. This paper aims to analyse the quantity, quality, visibility and authorship trends of scholarly publications on cyber-bullying from and/or about Kenya.
Design/methodology/approach
This study was conducted as a systematic literature review. A meta-analysis approach was used. Bibliometrics approaches were used to conduct the analysis. Data on the publications was collected from Google Scholar using Harzing's “Publish or Perish” software and then analysed and presented using Microsoft Excel, Notepad and VOSviewer.
Findings
The study yielded 359 research publications on cyber-bullying in Kenya. There was a gradual increment in the number of publications, peaking in 2018. Nearly half of the publications have not been cited indicating low uptake of research on cyber-bullying in Kenya. It also emerged that most of the research has been published on subscription channels thereby restricting their visibility, access and use. Minimal collaboration in research on cyber-bullying in Kenya was also observed since 67.4% of the publications were written by a single (one) author. The authors conclude that the quantity, quality and visibility of research on cyber-bullying in Kenya is low.
Originality/value
This is an empirical study. The findings can be used to promote and mainstream research on cyber-bullying in Kenya.
Suicide is a crucial public health problem with a serious harmful impact on individuals, families, and societies. Therefore, the current study aimed to evaluate the predictors of death or serious injury related outcome regarding this lethal phenomenon in Hamadan Province. In this registry-based study we used all of suicide attempt entered in Hamadan Suicide Registry Program from January 2016 to the end of 2017. Serious injury and death were considered as suicide worse outcome and its prognostic factors were examined using logistic regression model. From 2493 patients with suicide attempts in 5.61% and 4.09% of them, suicide behaviour led to serious injury and death, respectively. Males had 2.83 times higher odds of the worse suicide outcomes ([OR = 2.83, 95% CI: 1.71, 4.68)], P < 0.001). Moreover, the odds of worse outcomes of suicide in individuals with low level of education, advanced age and with the history of suicidal ideation was significantly higher (P < 0.05). Among different suicide methods, the highest odds of suicide worse outcomes were related to self-immolation, falls, hanging, self-harm, poisoning, and drugs (P < 0.001). We found that the increase odds of suicide worse outcomes were associated with individuals advance age, low level of education, time of suicide attempt, previous history of suicidal ideation and choosing self-immolation, falls, hanging, self-harm, poisoning, and drugs as a suicide method.
Introduction
Cyberbullying is a serious public health problem facing young people. Adults do not have first-hand experience of being immersed in social media in their youth and this necessitates the inclusion of youth voice in efforts to understand and address cyberbullying. This study aimed to synthesize qualitative studies which had explored young people's conceptualizations of the nature of cyberbullying, with a view to informing conceptual and intervention development.
Methods
A systematic review and meta-ethnographic synthesis of qualitative studies was conducted. Nine databases were searched from inception to July 2018. The Critical Appraisal Skills Program assessment tool was used to appraise the quality of included studies.
Results
Of 4872 unique records identified, 79 were reviewed in detail and 13 studies comprising 753 young people from 12 countries were included. Five key concepts were identified: Intent, Repetition, Accessibility, Anonymity and Barriers to Disclosure. A “line of argument” illustrating young people's conceptualization of cyberbullying was developed.
Conclusion
The significance of information and communication technology in young people's lives, and the complexity of the cyber world in which they connect, must be recognized in conceptualizations of cyebrbullying. The distinctive features of cyberbullying identified in young people's characterization can be used to inform bottom-up research and intervention efforts.
Cyberbullying has built on a previous research tradition in school bullying, but with inputs from other disciplines. There has been a decade of a rapidly increasing number of research studies. This has been a global phenomenon, with an initial impetus from North America but by now an even greater volume from Europe. By continent, only South America and Africa have so far lagged behind in this global development. Cyberbullying has both similarities to and differences from traditional bullying. There is still continuing debate about issues of measurement and definition, which the changing technological scene only exacerbates. Many studies have reported prevalence rates, but these vary hugely, depending on methodologies employed. Considerable work has focussed on age and gender differences, and other predictors of involvement. Another common focus of studies has been on correlates of cyberbullying involvement and negative outcomes, often found to be as much or more than for traditional bullying. The great majority of empirical studies have been quantitative, and cross-sectional. There is a need for more longitudinal studies, and also more qualitative and mixed methods approaches.
Is cyberbullying essentially the same as bullying, or is it a qualitatively different activity? The lack of a consensual, nuanced definition has limited the field's ability to examine these issues. Evidence suggests that being a perpetrator of one is related to being a perpetrator of the other; furthermore, strong relationships can also be noted between being a victim of either type of attack. It also seems that both types of social cruelty have a psychological impact, although the effects of being cyberbullied may be worse than those of being bullied in a traditional sense (evidence here is by no means definitive). A complicating factor is that the 3 characteristics that define bullying (intent, repetition, and power imbalance) do not always translate well into digital behaviors. Qualities specific to digital environments often render cyberbullying and bullying different in circumstances, motivations, and outcomes. To make significant progress in addressing cyberbullying, certain key research questions need to be addressed. These are as follows: How can we define, distinguish between, and understand the nature of cyberbullying and other forms of digital conflict and cruelty, including online harassment and sexual harassment? Once we have a functional taxonomy of the different types of digital cruelty, what are the short- and long-term effects of exposure to or participation in these social behaviors? What are the idiosyncratic characteristics of digital communication that users can be taught? Finally, how can we apply this information to develop and evaluate effective prevention programs?
Objectives:
Cyberbullying research in China is in early stage. This study describes the cyberbullying experiences of junior and senior high school students in Guangzhou, China, and to examine the risk factors associated with cyberbullying perpetrators, victims and perpetrator-victims among students. We also investigated the frequency of cyberbullying and coping strategies of student victims.
Methods:
Participants were 2590 students in grades 7, 8, 9 and 10 from six junior and senior high schools in October 2015 in Guangzhou, in south China, who completed a questionnaire. Data on participants' experiences with cyberbullying perpetration and victimisation during the previous 6 months were collected. Multinomial logistic regression was used to analyse factors associated with being perpetrators, victims and perpetrator-victims.
Results:
In this sample, 28.0% (725) of participants reported being a perpetrator and 44.5% (1150) reported being a victim in the previous 6 months. Specifically, 2.9% (74) reported being perpetrators only, 19.3% (499) reported being victims only and 25.2% (651) reported being perpetrator-victims (both perpetrator and victim). In addition, flaming was the most common form of cyberbullying in both perpetration and victimisation. Logistic regression analyses indicated that online game addiction in participants was associated with increased odds of being a perpetrator only; no democratic parenting style in the mother and physical discipline by parents were associated with increased odds of being a victim only; male students, students with low academic achievement, those spending over 2 hours a day online, experiencing physical discipline from parents and online game addiction were associated with increased odds of both perpetration and victimisation.
Conclusions:
Cyberbullying is a common experience among Chinese junior and senior high school students. These findings add to the empirical data on cyberbullying and reinforce the urgent need for cyberbullying prevention in China. Furthermore, from the perspective of practice, it is important to raise our awareness of cyerbullying and reduce the risk factors.
This study examines the nature and extent of adolescents' cyberbullying experiences, and explores the extent to which various factors, including bullying, culture, and gender, contribute to cyberbullying and cyber victimisation in junior high schools. In this study, one in three adolescents was a cyber victim, one in five was a cyberbully, and over half of the students had either experienced or heard about cyberbullying incidents. Close to half of the cyber victims had no idea who the predators were. Culture and engagement in traditional bullying were strong predictors not only for cyberbullying, but also for cyber victimisation. Gender also played a significant role, as males, compared to their female counterparts, were more likely to be cyberbullies.
Preface Part I. Foundations of Research 1. Science, Schooling, and Educational Research Learning About the Educational World The Educational Research Approach Educational Research Philosophies Conclusions 2. The Process and Problems of Educational Research Educational Research Questions Educational Research Basics The Role of Educational Theory Educational Research Goals Educational Research Proposals, Part I Conclusions 3. Ethics in Research Historical Background Ethical Principles Conclusions 4. Conceptualization and Measurement Concepts Measurement Operations Levels of Measurement Evaluating Measures Conclusions 5. Sampling Sample Planning Sampling Methods Sampling Distributions Conclusions Part II. Research Design and Data Collection 6. Causation and Research Design Causal Explanation Criteria for Causal Explanations Types of Research Designs True Experimental Designs Quasi-Experimental Designs Threats to Validity in Experimental Designs Nonexperiments Conclusions 7. Evaluation Research What Is Evaluation Research? What Can an Evaluation Study Focus On? How Can the Program Be Described? Creating a Program Logic Model What Are the Alternatives in Evaluation Design? Ethical Issues in Evaluation Research Conclusions 8. Survey Research Why Is Survey Research So Popular? Errors in Survey Research Questionnaire Design Writing Questions Survey Design Alternatives Combining Methods Survey Research Design in a Diverse Society Ethical Issues in Survey Research Conclusions 9. Qualitative Methods: Observing, Participating, Listening Fundamentals of Qualitative Research Participant Observation Intensive Interviewing Focus Groups Combining Qualitative and Quantitative Methods Ethical Issues in Qualitative Research Conclusions 10. Single-Subject Design Foundations of Single-Subject Design Measuring Targets of Intervention Types of Single-Subject Designs Analyzing Single-Subject Designs Ethical Issues in Single-Subject Design Conclusions 11. Mixing and Comparing Methods and Studies Mixed Methods Comparing Reserch Designs Performing Meta-Analyses Conclusions 12. Teacher Research and Action Research Teacher Research: Three Case Studies Teacher Research: A Self-Planning Outline for Creating Your Own Project Action Research and How It Differs From Teacher Research Validity and Ethical Issues in Teacher Research and Action Research Conclusions Part III. Analyzing and Reporting Data 13. Quantitative Data Analysis Why We Need Statistics Preparing Data for Analysis Displaying Univariate Distributions Summarizing Univariate Distributions Relationships (Associations) Among Variables Presenting Data Ethically: How Not to Lie With Statistics Conclusions 14. Qualitative Data Analysis Features of Qualitative Data Analysis Techniques of Qualitative Data Analysis Alternatives in Qualitative Data Analysis Computer-Assisted Qualitative Data Analysis Ethics in Qualitative Data Analysis Conclusions 15. Proposing and Reporting Research Educational Research Proposals, Part II Reporting Research Ethics, Politics, and Research Reports Conclusions Appendix A: Questions to Ask About a Research Article Appendix B: How to Read a Research Article Appendix C: Finding Information, by Elizabeth Schneider and Russell K. Schutt Appendix D: Table of Random Numbers Glossary References Author Index Subject Index About the Authors
Importance:
Peer victimization is related to an increased chance of suicidal ideation and suicide attempts among children and adolescents. OBJECTIVE To examine the relationship between peer victimization and suicidal ideation or suicide attempts using meta-analysis. DATA SOURCES Ovid MEDLINE, PsycINFO, and Web of Science were searched for articles from 1910 to 2013. The search terms were bully*, teas*, victim*, mobbing, ragging, and harassment in combination with the term suic*. Of the 491 studies identified, 34 reported on the relationship between peer victimization and suicidal ideation, with a total of 284,375 participants. Nine studies reported on the relationship between peer victimization and suicide attempts, with a total of 70,102 participants. STUDY SELECTION Studies were eligible for inclusion if they reported an effect size on the relationship between peer victimization and suicidal ideation or suicide attempt in children or adolescents.
Data extraction and synthesis:
Two observers independently coded the effect sizes from the articles. Data were pooled using a random effects model. MAIN OUTCOMES AND MEASURES This study focused on suicidal ideation and suicide attempts. Peer victimization was hypothesized to be related to suicidal ideation and suicide attempts. RESULTS Peer victimization was found to be related to both suicidal ideation (odds ratio, 2.23 [95% CI, 2.10-2.37]) and suicide attempts (2.55 [1.95 -3.34]) among children and adolescents. Analyses indicated that these results were not attributable to publication bias. Results were not moderated by sex, age, or study quality. Cyberbullying was more strongly related to suicidal ideation compared with traditional bullying. CONCLUSIONS AND RELEVANCE Peer victimization is a risk factor for child and adolescent suicidal ideation and attempts. Schools should use evidence-based practices to reduce bullying.
The study compared levels of depression among bullies, victims, and bully-victims of traditional (physical, verbal, and relational) and cyber bullying that is a relatively new form of bullying. The study also examined the association between depression and frequency of involvement in each form of bullying.
A U.S. nationally representative sample of students in grades 6-10 (N = 7,313) completed the bullying and depression items in the Health Behavior in School-Aged Children 2005 Survey.
Depression was associated with each of the four forms of bullying. Cyber victims reported higher depression than bullies or bully-victims, a result not observed in other forms of bullying. For physical, verbal, and relational bullies, the frequently-involved group of victims and bully victims reported a significantly higher level of depression than the corresponding occasionally involved group. For cyber bullying, differences were found only between the occasional and frequent victims.
Results indicated the importance of further study of cyber bullying because its association with depression was distinct from traditional forms of bullying.
Although characteristics of traditional bullying participants have been identified and studied for years, research on cyberbullying is limited. The purpose of this study is to expand the literature on cyberbullying with a particular focus on the relationships among cyberbullying characteristics, typical social activities, and more traditional forms of bullying. The typical activities and experiences with traditional bullying and cyberbullying of 52 children ages 11 to 17 were compared to those of 52 matched controls. Children exposed to cyberbullying, whether as a cyberbully, cybervictim, or both (bully/victim), spent more time on computer-based social activities. Nearly two thirds of cyberbully/victims were also traditional bully/victims. While preliminary, results suggest that efforts to prevent cyberbullying may need to focus on patterns of Internet use, amount and type of social activities, and exposure to traditional bullying as risk factors for engaging in cyberbullying.
A majority of teens have experienced some form of cyberbullying
- M Anderson
Cyberbullying in the digital age: A review of the role of technology in bullying behavior
- R Dredge
- J Gleeson
- D Leo
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Bullying beyond the schoolyard: Preventing and responding to cyberbullying
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Handbook of bullying prevention: A comprehensive review of research, policy, and practice
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5 facts about online harassment pew research center
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- Patterson L.
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