New! The Telegram data collector is now live! Visit the Tutorial page See Section 3 - Working with Telegram Data

Communalytic is a computational social science research tool
for studying online communities and discourse.

Data Collector

An easy-to-use social media data collector designed to collect publicly available data from Telegram, Reddit, Twitter, Facebook/ Instagram (via CrowdTangle), or you can import your own CSV or JSON data files - no coding required

Toxicity Analyzer

A machine learning toxicity analysis module designed to identify toxic and anti-social interactions in online discourse

Sentiment Analyzer

A lexicon and rule-based sentiment analysis module designed to detect the polarity (neutral, negative, or positive) of posts in a dataset

Bot Analyzer

An automation detection module designed to check for bot-like activities on Twitter

Network Analyzer

A network analyzer module designed to automatically generate and visualize various types of signed and unsigned networks including communication networks, two-mode semantic networks, link-sharing networks and word co-occurrence networks

Communalytic EDU is designed to help students learn about social media data analytics.

EDU Account Type/Capacity

EDU Data Sources

Communalytic PRO is designed for the academic research community and is ideal for large-scale research projects.

PRO Account Type/Capacity

PRO Data Sources

Case Studies and Tutorials

New to Communalytic? We have prepared a number of tutorials to help you get started.

Social Media Lab’s Computational Social Science (CSS) Bootcamp – Video recordings + Slides

How to Cite:

If you are using Communalytic in an academic publication, please cite us as: 

Gruzd, A., & Mai, P. (2022). Communalytic: A Research Tool For Studying Online Communities and Online Discourse. Available at