A human-centered systematic literature review of cyberbullying detection algorithms

S Kim, A Razi, G Stringhini, PJ Wisniewski… - Proceedings of the …, 2021 - dl.acm.org
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 …

[HTML][HTML] Session-based cyberbullying detection in social media: A survey

P Yi, A Zubiaga - Online Social Networks and Media, 2023 - Elsevier
Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim
through a social media session. By investigating cyberbullying perpetrated through social …

Characteristics of viral messages on Telegram; The world's largest hybrid public and private messenger

AD Nobari, MHKM Sarraf, M Neshati… - Expert systems with …, 2021 - Elsevier
Telegram is a new Instant Messaging application providing key features for both public and
private messaging. Telegram is similar to group broadcast or micro-blogging platforms …

Cyberbullying ends here: Towards robust detection of cyberbullying in social media

M Yao, C Chelmis, DS Zois - The World Wide Web Conference, 2019 - dl.acm.org
The potentially detrimental effects of cyberbullying have led to the development of numerous
automated, data-driven approaches, with emphasis on classification accuracy …

Cyberbullying detection in social networks: A comparison between machine learning and transfer learning approaches

TH Teng, KD Varathan - IEEE Access, 2023 - ieeexplore.ieee.org
Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …

Integrating implicit and explicit linguistic phenomena via multi-task learning for offensive language detection

FM Plaza-del-Arco, MD Molina-González… - Knowledge-Based …, 2022 - Elsevier
The analysis and detection of offensive content in textual information have become a great
challenge for the Natural Language Processing community. Most of the research conducted …

Cyberbullying detection on social multimedia using soft computing techniques: a meta-analysis

A Kumar, N Sachdeva - Multimedia Tools and Applications, 2019 - Springer
Cyberbullying is to bully someone in the digital realm. It has become extremely detrimental
as the social media and the internet have become more popular and omnipresent. People …

Scalable and timely detection of cyberbullying in online social networks

RI Rafiq, H Hosseinmardi, R Han, Q Lv… - Proceedings of the 33rd …, 2018 - dl.acm.org
Cyberbullying in Online Social Networks (OSNs) has grown to be a serious problem among
teenagers. While a considerable amount of research has been conducted focusing on …

Weakly supervised cyberbullying detection using co-trained ensembles of embedding models

E Raisi, B Huang - 2018 IEEE/ACM international conference on …, 2018 - ieeexplore.ieee.org
Social media has become an inevitable part of individuals personal and business lives. Its
benefits come with various negative consequences. One major concern is the prevalence of …

A comprehensive review of cyberbullying-related content classification in online social media

TH Teng, KD Varathan, F Crestani - Expert Systems with Applications, 2023 - Elsevier
The emergence of online social networks (OSN) platforms removes communication barriers
that are essential to human life, catalyzing social networking growth. However, this …