Online Community Modeling and Moderation

Authors

  • Richard Khoury Department of Computer Science and Software Engineering, Université Laval, Canada

DOI:

https://doi.org/10.32473/flairs.38.1.139141

Abstract

Today, over 5 billion people interact with each other in online communities, ranging from social networking sites to web forums, from video game chats to website comment sections. In most cases these communities eanble participants to connect and communicate with each other in healthy ways – sharing, learning, and befriending each other. Unfortunately, some of these interactions become harmful, and devolve into virulent fights, trolling, cyberbullying, and worse. The most common methods for dealing with harmful messages are through human moderators, keyword filters, and user reports, but these methods all have inherent limitations. In this talk, we will explore how new AI tools, such as community modeling and predictive moderation, can be developed to keep online communities safe and healthy.

Author Biography

Richard Khoury, Department of Computer Science and Software Engineering, Université Laval, Canada

Richard Khoury received his Bachelor’s Degree and his Master’s Degree in Electrical and Computer Engineering from Laval University (Québec City, QC) in 2002 and 2004 respectively, and his Doctorate in Electrical and Computer Engineering from the University of Waterloo (Waterloo, ON) in 2007. From 2008 to 2016, he worked as a faculty member in the Department of Software Engineering at Lakehead University. In 2016, he moved to Université Laval as an associate professor. From 2021 to 2023, he also served as president of the Canadian Artificial Intelligence Association. Dr. Khoury’s primary areas of research are data mining and natural language processing, and additional interests include knowledge management, machine learning, and artificial intelligence.

Downloads

Published

14-05-2025

How to Cite

Khoury, R. (2025). Online Community Modeling and Moderation . The International FLAIRS Conference Proceedings, 38(1). https://doi.org/10.32473/flairs.38.1.139141

Issue

Section

Invited Talk Papers/Abstracts