Automatic cyberbullying detection: A systematic review
Automatic cyberbullying detection is a task of growing interest, particularly in the Natural
Language Processing and Machine Learning communities. Not only is it challenging, but it …
Language Processing and Machine Learning communities. Not only is it challenging, but it …
Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges
Prior to the innovation of information communication technologies (ICT), social interactions
evolved within small cultural boundaries such as geo spatial locations. The recent …
evolved within small cultural boundaries such as geo spatial locations. The recent …
A comparative analysis of machine learning techniques for cyberbullying detection on twitter
The advent of social media, particularly Twitter, raises many issues due to a
misunderstanding regarding the concept of freedom of speech. One of these issues is …
misunderstanding regarding the concept of freedom of speech. One of these issues is …
Approaches to automated detection of cyberbullying: A survey
Research into cyberbullying detection has increased in recent years, due in part to the
proliferation of cyberbullying across social media and its detrimental effect on young people …
proliferation of cyberbullying across social media and its detrimental effect on young people …
A human-centered systematic literature review of cyberbullying detection algorithms
Cyberbullying is a growing problem across social media platforms, inflicting short and long-
lasting effects on victims. To mitigate this problem, research has looked into building …
lasting effects on victims. To mitigate this problem, research has looked into building …
Cyberbullying detection with a pronunciation based convolutional neural network
X Zhang, J Tong, N Vishwamitra… - 2016 15th IEEE …, 2016 - ieeexplore.ieee.org
Cyberbullying can have a deep and long lasting impact on its victims, who are often
adolescents. Accurately detecting cyberbullying helps prevent it. However, the noise and …
adolescents. Accurately detecting cyberbullying helps prevent it. However, the noise and …
Cyberbullying detection from tweets using deep learning
Purpose With the rise of social media platforms, an increasing number of cases of
cyberbullying has reemerged. Every day, large number of people, especially teenagers …
cyberbullying has reemerged. Every day, large number of people, especially teenagers …
Multilingual cyberbullying detection system
R Pawar, RR Raje - 2019 IEEE international conference on …, 2019 - ieeexplore.ieee.org
As the use of social media has evolved in recent times, so has the ability to cyberbully
victims using it. The last decade has witnessed a surge of cyberbullying-this bullying is not …
victims using it. The last decade has witnessed a surge of cyberbullying-this bullying is not …
Identification of cyberbullying on multi‐modal social media posts using genetic algorithm
Cyberbullying is one of the detrimental effects, social media is facing nowadays. With the
increasing use of photo sharing and text comments, the severity of cyberbullying has …
increasing use of photo sharing and text comments, the severity of cyberbullying has …
Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …
offensive languages) is essential to provide a healthy conversation environment on the Web …