Communalytic is a research tool for studying online communities and online discourse.
Communalytic can collect and analyze public data from social media platforms. It uses advanced text and social network analysis techniques to automatically pinpoint toxic and anti-social interactions, identify influencers, map shared interests and the spread of misinformation, and detect signs of possible coordination among seemingly disparate actors.
Analyze text and patterns of relations to detect toxic and anti-social interactions, identify influencers, map shared interests and the spread of misinformation, and detect signs of possible coordination among seemingly disparate actors
Communalytic Edu is designed for educators to teach and students to learn about social media data analytics and social network analysis.
Communalytic Pro is designed for the academic research community and is ideal for large scale academic research projects. It provides researchers with the resources and infrastructure necessary for conducting independent research in the public interest.
Case Studies and Tutorials
New to Communalytic? We have prepared a number of videos and text-based tutorials to help you get started.
Toxicity Analysis of a Twitter Thread: Analyzing Replies to President Trump’s Tweet about Contracting the Novel Coronavirus
Studying Anti-Social Behaviour on Reddit with Communalytic
Social Media Lab’s Computational Social Science (CSS) Bootcamp – Summer 2021 (Video recordings + Slides)
How to Cite:
If you are using Communalytic in an academic publication, please cite us as:
Gruzd, A., & Mai, P. (2021). Communalytic: A Research Tool For Studying Online Communities and Online Discourse. Available at https://Communalytic.com