3 papers
cs.CL2026
Do Social Patterns Hold in Synthetic Data? Analyzing Cyberbullying Dynamics in LLM-Generated and Authentic Dialogues
Arefeh Kazemi, Hamza Qadeer, Sinan Asci +2
Cyberbullying (CB) is a complex social phenomenon characterized by repeated aggression, power imbalance, and multi-party interaction. Although large language models (LLMs) are incr…
cs.AI2025
SynBullying: A Multi LLM Synthetic Conversational Dataset for Cyberbullying Detection
Arefeh Kazemi, Hamza Qadeer, Joachim Wagner +3
We introduce SynBullying, a synthetic multi-LLM conversational dataset for studying and detecting cyberbullying (CB). SynBullying provides a scalable and ethically safe alternative…
cs.CL2025
Synthetic vs. Gold: The Role of LLM Generated Labels and Data in Cyberbullying Detection
Arefeh Kazemi, Sri Balaaji Natarajan Kalaivendan, Joachim Wagner +3
Cyberbullying (CB) presents a pressing threat, especially to children, underscoring the urgent need for robust detection systems to ensure online safety. While large-scale datasets…