Cyberbullying has been described as a type of electronic bullying and has recently been subjected to intense media scrutiny largely due to a number of high profile and tragic cases of teen suicide. Despite the media attention relatively little is known about the nature of cyberbullying. This is, at least in part, due to a lack of theoretical and conceptual clarity and an examination of the similarities and differences between cyberbullying and face-to-face bullying. This paper reviews the limited theoretical and empirical literature addressing both cyberbullying and face-to-face bullying, using some specific examples from a qualitative study for illustration. We compare and contrast individual factors common to cyber and face-to-face bullying. We then examine social information processing factors associated with face-to-face bullying and present a discussion of the similarities and differences that may characterize cyberbullying.

BackgroundCyber-bullying (i.e., bullying via electronic means) has emerged as a new form of bullying that presents unique challenges to those victimised. Recent studies have demonstrated that there is a significant conceptual and practical overlap between both types of bullying such that most young people who are cyber-bullied also tend to be bullied by more traditional methods. Despite the overlap between traditional and cyber forms of bullying, it remains unclear if being a victim of cyber-bullying has the same negative consequences as being a victim of traditional bullying.MethodThe current study investigated associations between cyber versus traditional bullying and depressive symptoms in 374 and 1320 students from Switzerland and Australia respectively (52% female; Age: M = 13.8, SD = 1.0). All participants completed a bullying questionnaire (assessing perpetration and victimisation of traditional and cyber forms of bullying behaviour) in addition to scales on depressive symptoms.ResultsAcross both samples, traditional victims and bully-victims reported more depressive symptoms than bullies and non-involved children. Importantly, victims of cyber-bullying reported significantly higher levels of depressive symptoms, even when controlling for the involvement in traditional bullying/victimisation.ConclusionsOverall, cyber-victimisation emerged as an additional risk factor for depressive symptoms in adolescents involved in bullying.

The study of bullying behavior and its consequences for young people depends on valid and reliable measurement of bullying victimization and perpetration. Whilst numerous self-report bullying-related measures have been developed, robust evidence of their psychometric properties is scant and several limitations inhibit their applicability. The Forms of Bullying Scale (FBS), with versions to measure bullying victimization (FBS-V) and perpetration (FBS-P), was developed based on existing instruments, for use with 12-15 year old adolescents to economically yet comprehensively measure both bullying perpetration and victimization. Measurement properties were estimated. Scale validity was tested using data from two independent studies of 3,496 Grade 8 and 783 Grade 8-10 students respectively.Construct validity of scores on the FBS was shown in confirmatory factor analysis. The factor structure was not invariant across gender. Strong associations between the FBS-V and FBS-P and separate single item bullying items demonstrated adequate concurrent validity.Correlations, in directions as expected with social-emotional outcomes (i.e., depression, anxiety, conduct problems and peer support), provided robust evidence of convergent and discriminant validity. Responses to the FBS items were found to be valid and concurrently reliable measures of self-reported frequency of bullying victimization and perpetration, as well as being useful to measure involvement in the different forms of bullying behaviors.

A number of studies have demonstrated the mental health implications of excessive Internet-browsing, gaming, texting, emailing, social networking, and phone calling. However, no study to date has investigated the impact of being able to conduct all of these activities on one device. A smart-device (i.e., smart-phone or tablet) allows these activities to be conducted anytime and anywhere, with unknown mental health repercussions. This study investigated the association between smart-device use, smart-device involvement and mental health. Two-hundred and seventy-four participants completed an online survey comprising demographic questions, questions concerning smart-device use, the Mobile Phone Involvement Questionnaire, the Internet Addiction Test and the Depression, Anxiety and Stress Scales. Higher smartdevice involvement was significantly associated with higher levels of depression and stress but not anxiety. However, smart-device use was not significantly associated with depression, anxiety or stress. These findings suggest that it is the nature of the relationship a person has with their smart-device that is predictive of depression and stress, rather than the extent of use.

Many young people who are bullied do not tell anyone. School staff therefore are often unaware of which students are being victimised and when to provide support or assistance. A critical strategy to overcome this problem is to encourage victimised students to seek help and report this bullying. This study aims to examine the relationship between help-seeking behaviours and self-reported emotional symptoms in young people from Australia (n = 5959; M age = 12.36 years, SD = 1.46 years) and Austria (n = 1530; M age = 12.68 years, SD = .84 years) who reported being victimised (via cyber and traditional bullying). In both countries, students who were cyber-victimised compared to those who were victimised in more traditional methods were less likely to seek help. Girls in both countries were significantly more likely to seek help and endorse more emotional symptoms than boys. No relationship was found between help-seeking and emotional symptoms in students who had been cyber-victimised. These preliminary results have important implications for the types of strategies used to enhance the approachability of school staff and families to provide appropriate help and support for young people who are being bullied.

Youth who sustained TBI during childhood have poorer moral reasoning abilities than their non-injured peers, potentially placing them at risk for poor social decision-making and socially maladaptive behaviour. This can have a significant impact on long-term social functioning.

Objective: To theoretically examine how the functional properties of Information and Communications Technologies (ICTs) may potentially influence social information processing (SIP) relevant to cyber-aggression and victimization (CAV), and the opportunities for aggression and victimization that these new technologies provide. Results: Our conceptual analysis highlights multiple functional properties of ICTs that provide opportunities for CAV, and implicates new social norms arising around use of ICTs that may also distinguish online from offline aggression and victimization. These include the paucity and/or permanence of social cues, the deployment of substitute cues (e.g., emoticons), ambiguity around intentions of communicators and around perceptions of privacy and audience, and the removal of response inhibitors resulting from continuous access to ICTs. Conclusions: Our analysis provides a useful heuristic device and reveals a need for innovative research to better examine how features of ICTs modulate social information processing to increase (or decrease) the likelihood of cyber-aggression and victimization. The consideration of SIP in understanding CAV opens important avenues for future empirical inquiry.

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