Detection of Cyber-Bullying Through Sentimental Analysis

Sentiment Analysis for Effective Detection of Cyber Bullying

Prevalence of Traditional and Cyber Bullying Among Teenagers Herat-Afghanistan

Background and Aim: Bullying is one of the most common problems among teenagers in many schools around the world, which is recently considered by researchers in the fields of psychology and even criminology as a traditional and cyber bullying. The purpose of this study is to investigate the rate of traditional and cyber bullying among male and female teenagers in the secondary schools of Herat...

Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media

Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...

Ruminati Modeling the Detection of Textual Cyber - bullying

The scourge of cyber-bullying has received widespread attention at all levels of society including parents, educators, adolescents, social scientists, psychiatrists and policy makers at the highest echelons of power. Cyber-bullying and it's complex intermingling with traditional bullying has been shown to have a deeply negative impact on both the bully as well as the victim. We hypothesize that...

Predictors of Workplace Bullying and Cyber-Bullying in New Zealand

BACKGROUND The negative effects of in-person workplace bullying (WB) are well established. Less is known about cyber-bullying (CB), in which negative behaviours are mediated by technology. Drawing on the conservation of resources theory, the current research examined how individual and organisational factors were related to WB and CB at two time points three months apart. METHODS Data were co...