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 …
A comprehensive review of cyberbullying-related content classification in online social media
TH Teng, KD Varathan, F Crestani - Expert Systems with Applications, 2024 - Elsevier
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 …
Xbully: Cyberbullying detection within a multi-modal context
Over the last decade, research has revealed the high prevalence of cyberbullying among
youth and raised serious concerns in society. Information on the social media platforms …
youth and raised serious concerns in society. Information on the social media platforms …
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 …
Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity
The detection of online cyberbullying has seen an increase in societal importance,
popularity in research, and available open data. Nevertheless, while computational power …
popularity in research, and available open data. Nevertheless, while computational power …
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 …
A system to monitor cyberbullying based on message classification and social network analysis
Social media platforms like Twitter and Instagram face a surge in cyberbullying phenomena
against young users and need to develop scalable computational methods to limit the …
against young users and need to develop scalable computational methods to limit the …
[PDF][PDF] Effect of features extraction techniques on cyberstalking detection using machine learning framework
Various cybercriminals are active with predefined and preplanned agendas to carry out
cybercrimes in the Internet world. Cyberstalking, cyberbullying, cyber terrorism, cyber …
cybercrimes in the Internet world. Cyberstalking, cyberbullying, cyber terrorism, cyber …
Benchmarking language models for cyberbullying identification and classification from social-media texts
Cyberbullying is bullying perpetrated via the medium of modern communication
technologies like social media networks and gaming platforms. Unfortunately, most existing …
technologies like social media networks and gaming platforms. Unfortunately, most existing …