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 …
Informing age-appropriate ai: Examining principles and practices of ai for children
AI systems are becoming increasingly pervasive within children's devices, apps, and
services. However, it is not yet well-understood how risks and ethical considerations of AI …
services. However, it is not yet well-understood how risks and ethical considerations of AI …
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 …
SOLID: A large-scale semi-supervised dataset for offensive language identification
The widespread use of offensive content in social media has led to an abundance of
research in detecting language such as hate speech, cyberbullying, and cyber-aggression …
research in detecting language such as hate speech, cyberbullying, and cyber-aggression …
When the timeline meets the pipeline: A survey on automated cyberbullying detection
Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
Cyberbullying ends here: Towards robust detection of cyberbullying in social media
The potentially detrimental effects of cyberbullying have led to the development of numerous
automated, data-driven approaches, with emphasis on classification accuracy …
automated, data-driven approaches, with emphasis on classification accuracy …
A comprehensive review of cyberbullying-related content classification in online social media
The emergence of online social networks (OSN) platforms removes communication barriers
that are essential to human life, catalyzing social networking growth. However, this …
that are essential to human life, catalyzing social networking growth. However, this …
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 …
Cyberbullying detection and machine learning: a systematic literature review
V Balakrisnan, M Kaity - Artificial Intelligence Review, 2023 - Springer
The rise in research work focusing on detection of cyberbullying incidents on social media
platforms particularly reflect how dire cyberbullying consequences are, regardless of age …
platforms particularly reflect how dire cyberbullying consequences are, regardless of age …
A study of cyberbullying detection using machine learning techniques
SM Kargutkar, V Chitre - 2020 Fourth International Conference …, 2020 - ieeexplore.ieee.org
Cyberbullying disturbs harassment online, with alarming implications. It exists in different
ways, and is in textual format in most social networks. There is no question that over 1.96 …
ways, and is in textual format in most social networks. There is no question that over 1.96 …