Social Media Analysis for Non-Programmers: Introduction to Topic Analysis with Communalytic
Social Media Analysis for Non-Programmers: Introduction to Topic Analysis with Communalytic
Sponsored by the Internet, Technology, and Digital Sociology Research Cluster
Register to Attend
Friday, November 13, 2026 @ 1:30pm-3:30pm Eastern Time
This workshop introduces computational approaches for studying online discourse using Communalytic (https://communalytic.org/), a research platform designed to collect and analyze social media data. Participants will learn how to use multilingual embeddings to discover and interpret latent themes in large-scale conversation datasets.
Anatoliy Gruzd, Social Media Lab, Toronto Metropolitan University
Anatoliy Gruzd is a Professor at the Ted Rogers School of Management and the Director of Research at the Social Media Lab at Toronto Metropolitan University. As a computational social science researcher, he investigates how social media affects the way people and organizations communicate, collaborate, and share information, including misinformation. His expertise lies in studying online communities and social networks, as well as in developing new computational methods and tools to analyze public discourse across various domains. Most recently, he has been examining the spread of pro-Kremlin narratives, propaganda and disinformation related to the Russia-Ukraine war. Anatoliy’s innovative approach to studying social media has led to his being named a Canada Research Chair in 2015 and inducted into the Royal Society of Canada’s College of New Scholars, Artists, and Scientists in 2017.