A review on deep-learning-based cyberbullying detection

MT Hasan, MAE Hossain, MSH Mukta, A Akter… - Future Internet, 2023 - mdpi.com
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …

A comparative analysis of machine learning techniques for cyberbullying detection on twitter

A Muneer, SM Fati - Future Internet, 2020 - mdpi.com
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 …

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 …

A multi-platform dataset for detecting cyberbullying in social media

D Van Bruwaene, Q Huang, D Inkpen - Language Resources and …, 2020 - Springer
Recent work on cyberbullying detection relies on using machine learning models with text
and metadata in small datasets, mostly drawn from single social media platforms. Such …

Cyberbullying conceptualization, characterization and detection in social media–a systematic literature review

WH Woo, HN Chua, MF Gan - International Journal on …, 2023 - journals.iium.edu.my
Social media has become the primary form of communication wherein users can share
intimate moments online through photos, videos, or posts. At a glance, while this greatly …

Cyberbullying detection based on emotion

M Al-Hashedi, LK Soon, HN Goh, AHL Lim… - IEEE Access, 2023 - ieeexplore.ieee.org
Due to the detrimental consequences caused by cyberbullying, a great deal of research has
been undertaken to propose effective techniques to resolve this reoccurring problem. The …

Optimal online cyberbullying detection

DS Zois, A Kapodistria, M Yao… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Cyberbullying has emerged as a serious societal and public health problem that demands
accurate methods for the detection of cyber-bullying instances in an effort to mitigate the …

Cyberbullying detection on instagram with optimal online feature selection

M Yao, C Chelmis, DS Zois - 2018 IEEE/ACM International …, 2018 - ieeexplore.ieee.org
Cyberbullying has emerged as a large-scale societal problem that demands accurate
methods for its detection in an effort to mitigate its detrimental consequences. While …

Dynamic, incremental, and continuous detection of cyberbullying in online social media

C Chelmis, DS Zois - ACM Transactions on the Web (TWEB), 2021 - 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 …

Support for cyberbullying victims and actors: A content analysis of Facebook groups fighting against cyberbullying

S Alim, S Khalid - … Anthology on Combating Cyber-Aggression and …, 2022 - igi-global.com
This study analyses the post content and the emotions reflected in 10 open Facebook
groups associated with cyberbullying, with the highest number of group members …