Current studies on cyberbullying detection, under text classification, mainly assume that the streaming text can be fully labelled. However, the exponential growth of unlabelled data in online content makes this assumption impractical. In this paper, we propose a session-based framework for automatic detection of cyberbullying from the huge amount of unlabelled streaming text. Given that the st...

Diffusion of information in the Vine video social network happens via a revining mechanism that enables accelerated propagation of news, rumors, and different types of videos. In this paper we aim to understand the revining behavior in Vine and how it may be impacted by different factors. We first look at general properties of information dissemination via the revining feature in Vine. Then, we...

This study investigates the nature and the extent of adolescences experience of cyberbullying. A survey study of 177 grade seven students in an urban city is conducted. In this paper, ‘‘cyberbullying’’ refers to bullying via electronic communication tools. The results show that almost 54% of the students were victims of traditional bullying and over a quarter of them had been cyber-bullied. Alm...

BACKGROUND We identified bullying victimization (bullied on school property versus cyberbullied) by selected demographic, personal characteristic, and behavior variables. METHODS A cross-sectional analysis was conducted on adolescents (n = 13,583) completing the 2013 Youth Risk Behavior Survey (YRBS) in grades 9 through 12. RESULTS Being bullied on school property in the past 12 months was ...

Data from 53 focus groups, which involved students from 10 to 18 years old, show that youngsters often interpret "cyberbullying" as "Internet bullying" and associate the phenomenon with a wide range of practices. In order to be considered "true" cyberbullying, these practices must meet several criteria. They should be intended to hurt (by the perpetrator) and perceived as hurtful (by the victim...

Internet users in Indonesia is increasing every year. The increase caused by several factors, such as the increasingly even distribution of internet infrastructure Indonesia. has a positive impact facilitating communication between individuals, while negative intimidation to someone or known cyberbullying. Cyberbullying huge on mental health person, causing victim be angry, depressed, and anxio...

This study examines the phenomenon of cyberbullying on Facebook and how it is related to school bullying among secondary school students in Singapore, aged 13–17. We also focus on generic use of Facebook and risky Facebook behaviors as the predictors of cyberbullying and victimization on Facebook. 1676 secondary students, from two secondary schools, participated in a pen and paper survey. The f...

Traditional face-to-face bullying has long been identified as a risk factor for the social and emotional adjustment of perpetrators, targets and bully victims during childhood and adolescence; bystanders are also known to be negatively affected. The emergence of cyberbullying indicates that perpetrators have turned their attention to technology (including mobile telephones and the internet) as ...