Communalytic is a computational social science research tool for studying online communities and discourse. It can collect, analyze, and visualize publicly available data from various social media platforms including Reddit, Telegram, Twitter, and Facebook/ Instagram (via CrowdTangle), or from your own CSV or JSON files.
There are two versions of Communalytic: EDU and PRO.
- Communalytic EDU is designed to help students learn about social media data analytics.
- Communalytic PRO is designed for the academic research community and is ideal for large-scale academic research projects.
Communalytic contains a suite of data analytics modules including: 1) a Toxicity Analyzer via Google Perspective API, 2) a Sentiment Analyzer via libraries such as VADER (EN), TextBlob (EN, FR, DE) and Dostoevsky (RU), 3) a Bot Analyzer via Botometer API, and 4) a Network Analyzer.
These modules can be used to identify and examine anti-social interactions, assess sentiments in online discourse, detect Twitter bots, identify influencers, map shared interests among online actors by examining what topics or links they shared, study the spread of mis- and dis-information as well as look for signs of possible coordination among seemingly disparate actors.
Communalytic is being released as part of our research work developing research tools and visualization dashboards to support social science research on online participation and communities.
Our aims are to provide academic researchers with the resources and infrastructure necessary for conducting independent social media research in the public interest.
Commmunalytic is developed and maintained by researchers at the Social Media Lab at Toronto Metropolitan University’s Ted Rogers School of Management.