Manny Sandoval (CS PhD student) Presented Papers at ASONAM'24

Manny Sandoval successfully represented the BullyBlocker team at the 2024 International Conference on Advances in Social Networks Analysis and Mining (ASONAM). He presented the papers "Identifying Cyberbullying Roles in Social Media" and "Evaluating LLMs Capabilities Towards Understanding Social Dynamics" in Calabria, Italy.

Manny led the effort behind the paper "Identifying Cyberbullying Roles in Social Media" which proposes machine learning models to detect the roles involved in cyberbullying interactions using a real-world dataset. The models effectively integrate the use of LLMs and mechanisms to address class imbalance issues. Manny also contributed to the paper "Evaluating LLMs Capabilities Towards Understanding Social Dynamics" which provides a critical analysis regarding generative LLM’s ability to understand language and dynamics in social contexts, particularly considering cyberbullying and anti-cyberbullying (posts aimed at reducing cyberbullying) interactions.

Manny's work in these papers has been guided by an interdisciplinary faculty team that includes Dr. Yas Silva and Dr. Mohammed Abuhamad at LUC and Dr. Deborah Hall at Arizona State University.

You can learn more about the BullyBlocker effort in the project website: https://bullyblocker.cs.luc.edu/.