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.

Collect

Collect public data from Reddit, Twitter and CrowdTangle (Facebook/Instagram) or import your own dataset

Extract

Extract and visualize emojis, keywords and engagements as emoji/word clouds, reaction box plots and other summary stats about your dataset

Analyze

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

Visualize

Visualize two-mode semantic networks and who-replies-to-whom signed communication networks with each tie storing toxicity-related scores to uncover hidden patterns and correlations

https://collector.socialmediadata.org

Edu Features

Communalytic Edu is designed for educators to teach and students to learn about social media data analytics and social network analysis.

https://pro.communalytic.com

Pro Features

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