Elsevier

Computers in Human Behavior

Volume 41, December 2014, Pages 14-20
Computers in Human Behavior

“Maybe you don’t want to face it” – College students’ perspectives on cyberbullying

https://doi.org/10.1016/j.chb.2014.09.007Get rights and content

Highlights

  • We reported focus group data on college-level cyberbullying in a social context.

  • The stigma of cyberbullying in college influences avoidance of the problem.

  • Cyberbullying terminology was often misunderstood affecting case identification.

  • A multi-level intervention was described to shape cultural norms and reduce rates.

Abstract

Cyberbullying is a growing phenomenon in our society with the technological advances that are occurring. This type of bullying can transpire at all hours via text message, email, or social networking sites. According to several studies, college students are being affected by cyberbullying, with prevalence rates ranging from 8% to 21%. Many psychological ramifications exist as a result of cyberbullying among victims and bullies. It is crucial to learn more about how this phenomenon is affecting the social and learning environments in college, as well as how college students view cyberbullying. First and second-year students at a southern university were recruited to participate in this qualitative study. The researchers conducted six focus groups with 54 students. The participants reported reasons for cyberbullying in the college environment, such as retaliation in relationships. Independence and autonomy were discussed as reasons why college students do not report cyberbullying to others when it occurs. Participants discussed future interventions to reduce cyberbullying that included coping strategies, utilizing university services, and engaging in legal action. The authors recommend utilizing a multi-level Socio-Ecological approach to reduce cyberbullying rates. Additionally, evaluation research needs to be conducted on what works and what does not in the prevention of cyberbullying.

Introduction

Cyberbullying is a growing phenomenon in our society with the technological advances that are occurring. While cyberbullying has been defined as repeated, unwanted harassment using digital technologies (Adams and Lawrence, 2011, Kraft and Wang, 2010), there are several other definitions discussed in the literature focusing on threats of physical harm to online aggression to the use of specific technology such as web cams (Sabella, Patchin, & Hinduja, 2013). Although better consensus is needed for a clear definition, cyberbullying can have potentially long-lasting effects on victims and further research is needed to understand the context in which it occurs. Traditional bullying is often contained to the schoolyard; however, cyberbullying can occur at all hours via text message, email, or social networking sites. The frequency of victimization may be greater given the fact that our lives are intricately connected to technology and the permanency of what is written is an added consequence.

Cyberbullying victims have reported effects such as emotional distress, anxiety, and isolation (Hinduja and Patchin, 2010, Kaminski and Fang, 2009, Roland, 2002, Schenk and Fremouw, 2012). Unfortunately, suicide has occurred among some cybervictims and the media has highlighted certain cases, such as Tyler Clementi and Jessica Logan. For instance, Tyler’s college roommate recorded his sexual encounter with another man and this was streamed live on the Internet. Tyler subsequently committed suicide three days later (Foderaro, 2010). Similarly, Jessica Logan was cyberbullied via text message when her ex-boyfriend disseminated a nude picture of her to hundreds of adolescents. Jessica endured a great deal of harassment and name-calling before she ended her life (Wells, 2012). The fact that these lives were tragically impacted by the inappropriate use of technology warrants more data on why students are engaging in this type of behavior. Furthermore, given that these specific instances occurred among college-age students, this raises the important question of how older students are affected by cyberbullying.

Because cyberbullying occurs in high school (Hinduja and Patchin, 2007, Hinduja and Patchin, 2010, Kaminski and Fang, 2009, Patchin and Hinduja, 2010, Roland, 2002), as well as in the workplace (Privitera and Campbell, 2009, Science Daily, 2012), it is logical to infer that college students also face these challenges. One study indicated that cyberbullying in high school may also lead to further cyberbullying in college (Kraft & Wang, 2010). The prevalence of college-level cyberbullying ranges from 8% to 21% (Kraft and Wang, 2010, McDonald and Roberts-Pittman, 2010, Schenk and Fremouw, 2012) and may include receiving threatening text messages, sexually harassing messages, spreading rumors, and faking someone’s identity (Walker, Sockman, & Koehn, 2011).

To what extent are college students really impacted by cyberbullying, especially given their age and experience? Researchers have sought to describe the ramifications of college-level cyberbullying to better understand the mental health outcomes. In a recent study, the psychological state of college cybervictims was characterized by interpersonal sensitivity, depression, hostility, and psychotic behaviors when compared to controls (Schenk & Fremouw, 2012). On a behavioral basis, cybervictims became less trusting of people and avoided certain situations (Crosslin and Crosslin, 2014, Schenk and Fremouw, 2012). Cybervictims were not the only ones affected, but cyberbullies themselves also displayed psychological effects as a result of the victimization. Interestingly, cyberbullies manifested many of the same symptoms as victims, but also reported increased aggression levels, violence, and drug crimes compared to controls (Schenk, Fremouw, & Keelan, 2013).

Given the psychological states of students involved in cyberbullying, it is crucial to learn more about how this phenomenon is affecting the social and learning environments in college. When cyberbullying occurs in high school or in the work place, there are trusted people who can assist with these situations (e.g., parents, counselors, supervisors); however, college students may not have many resources at their disposal, particularly at a time when independence and autonomy is reinforced. Previous research has largely been quantitative to better describe the scope of the problem. Nevertheless, there are very few qualitative studies in the published literature about how college students perceive cyberbullying. Qualitative approaches are crucial to glean more in-depth descriptions of cyberbullying and to determine whether college students view cyberbullying as an issue.

Furthermore, prevention programs are more effective when the social context is understood instead of relying solely on individual skills (Page & Page, 2011). Prevention requires understanding the factors that lead to cyberbullying, and the interplay of factors in social environments is often explained well with the Socio-Ecological Model (SEM) (Centers for Disease Control & Prevention [CDC], 2013). This includes levels of influence (i.e., individual, organizational, community, and policy) that impact cyberbullying attitudes and behaviors in college students. By applying the SEM, salient factors may be identified to guide multi-level interventions to prevent cyberbullying. The purpose of this study was to assess undergraduate students’ perceptions of cyberbullying by conducting several focus groups. Additionally, the authors sought to determine acceptable interventions to reduce cyberbullying in this population by applying the SEM.

Section snippets

Participants

First and second-year students at a southern university were recruited to participate in this study. Students in their first years of college were sought because they are more likely to live on campus and in a community with other students where cyberbullying may be more pervasive.

Potential participants were informed of the study using various channels, such as announcement in undergraduate classes, an invitation to participate using a campus-wide information board, and through the psychology

Results

In Fig. 1, the themes and sub-themes are aligned with the research questions to illustrate the natural flow of data and how the researchers embodied the findings. The following themes were identified: Reflections on cyberbullying; Reasons for cyberbullying; Perceptions of cyberbullying terminology; Pertaining to college students; and Awareness & education. The authors have listed salient quotes below to provide a rich context illustrating the participants’ perspectives on cyberbullying.

Discussion

The first goal of this study was to examine undergraduate students’ perceptions of cyberbullying. The results confirmed what others have reported that cyberbullying continues from secondary schools into the college setting (Adams and Lawrence, 2011, CDC, 2011, Zalaquett and Chatters, 2014). Additionally, this study provided new insight into how college students may not seek help regarding a cyberbullying situation, relying more on their own resources for a solution.

Limitations

The researchers utilized a convenience sample of students from the psychology department at a public, southern university. Therefore, the results may not be generalizable to the general public. In addition, it is possible that only those students that had experience with or an interest in cyberbullying chose to participate in the study. However, the results from this study aligned closely with other studies in the literature.

Conclusion and future research recommendations

This was one of the first qualitative studies that sought to identify how college students view cyberbullying in a social context. In-depth data, such as this, is very useful in generating theories and these results can be applied to future interventions to reduce cyberbullying in college students. Future recommendations include follow-up surveys with college level administrators at a variety of universities to gain further knowledge about their perceptions of cyberbullying and their view of

Funding source

This study was funded by the College of Health Sciences Dean’s fund at Texas Woman’s University.

Acknowledgements

The authors are grateful to Mr. Matt Crosslin for his expertise and assistance with the design of the figure. Also, the authors thank Dr. Jody Terrell for contributing to this study in the area of data collection. We thank all of the students who participated in this research project.

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