[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 …

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 …

[HTML][HTML] Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor

P Kazienko, J Bielaniewicz, M Gruza, K Kanclerz… - Information …, 2023 - Elsevier
Some tasks in content processing, eg, natural language processing (NLP), like hate or
offensive speech and emotional or funny text detection, are subjective by nature. Each …

The structure of toxic conversations on Twitter

M Saveski, B Roy, D Roy - Proceedings of the web conference 2021, 2021 - dl.acm.org
Social media platforms promise to enable rich and vibrant conversations online; however,
their potential is often hindered by antisocial behaviors. In this paper, we study the …

Controversy and conformity: from generalized to personalized aggressiveness detection

K Kanclerz, A Figas, M Gruza… - Proceedings of the …, 2021 - aclanthology.org
There is content such as hate speech, offensive, toxic or aggressive documents, which are
perceived differently by their consumers. They are commonly identified using classifiers …

Will admins cope? Decentralized moderation in the Fediverse

IH Anaobi, A Raman, I Castro, HB Zia… - Proceedings of the …, 2023 - dl.acm.org
As an alternative to Twitter and other centralized social networks, the Fediverse is growing in
popularity. The recent, and polemical, takeover of Twitter by Elon Musk has exacerbated this …

Social Network Analysis: A Survey on Process, Tools, and Application

SS Singh, S Muhuri, S Mishra, D Srivastava… - ACM Computing …, 2024 - dl.acm.org
Due to the explosive rise of online social networks, social network analysis (SNA) has
emerged as a significant academic field in recent years. Understanding and examining …

Unsupervised cyberbullying detection via time-informed Gaussian mixture model

L Cheng, K Shu, S Wu, YN Silva, DL Hall… - arxiv preprint arxiv …, 2020 - arxiv.org
Social media is a vital means for information-sharing due to its easy access, low cost, and
fast dissemination characteristics. However, increases in social media usage have …

Improving cyberbullying detection with user interaction

S Ge, L Cheng, H Liu - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
Cyberbullying, identified as intended and repeated online bullying behavior, has become
increasingly prevalent in the past few decades. Despite the significant progress made thus …

Modeling temporal patterns of cyberbullying detection with hierarchical attention networks

L Cheng, R Guo, YN Silva, D Hall, H Liu - ACM/IMS Transactions on Data …, 2021 - dl.acm.org
Cyberbullying is rapidly becoming one of the most serious online risks for adolescents. This
has motivated work on machine learning methods to automate the process of cyberbullying …