A5001847917- Bullying, Victimization, and Aggression
- Hate Speech and Cyberbullying Detection
- Advanced Malware Detection Techniques
- Software Engineering Research
- Stalking, Cyberstalking, and Harassment
- Cancer-related gene regulation
Aston University
2017-2022
Research into cyberbullying detection has increased in recent years, due part to the proliferation of across social media and its detrimental effect on young people. A growing body work is emerging automated approaches detection. These utilise machine learning natural language processing techniques identify characteristics a exchange automatically detect by matching textual data identified traits. In this paper, we present systematic review published research (as via Scopus, ACM IEEE Xplore...
In this paper, we introduce a new English Twitter-based dataset for cyberbullying detection and online abuse. Comprising 62,587 tweets, was sourced from Twitter using specific query terms designed to retrieve tweets with high probabilities of various forms bullying offensive content, including insult, trolling, profanity, sarcasm, threat, porn exclusion. We recruited pool 17 annotators perform fine-grained annotation on the each tweet annotated by three annotators. All our are school...
Social media has become the new playground for bullies. Young people are now regularly exposed to a wide range of abuse online. In response increasing prevalence cyberbullying, online social networks have increased efforts clamp down on but unfortunately, nature, complexity and sheer volume cyberbullying means that many incidents go undetected. BullStop is mobile app detecting preventing platforms. It uses deep learning models identify instances can automatically initiate actions such as...