Communalytic is a computational social science research tool
for studying online communities and discourse.
Collect
Collect publicly available data from Reddit, Twitter and CrowdTangle (Facebook/Instagram) or import your own dataset
Process
Process and extract frequently used keywords/emojis, summarize engagement stats and automatically discover and build various types of networks
Analyze
Analyze text and patterns of relations to pinpoint toxic and anti-social interactions, detect bots, assess posts' sentiments, identify influencers, map shared interests and the spread of misinformation, and detect signs of possible coordination among seemingly disparate actors
Visualize
Visualize 1) two-mode semantic networks, 2) link-sharing networks, and 3) reply/retweet signed-communication networks, where each tie in the network stores toxicity-related scores. (For Twitter networks, each node can also store bot-related scores.)
Edu Features
Communalytic Edu is designed for educators to teach and students to learn about social media data analytics and social network analysis.
Pro Features
Communalytic Pro is designed for the academic research community and is ideal for large-scale research projects. It provides researchers with the resources and infrastructure necessary for conducting independent research in the public interest.
Edu Account Type/Capacity
- Account Type: Free (Req. an academic email address)
- Account Caps: ≤ 30K records shared across 3 datasets
- Simultaneously Run Multiple Data Collectors: 1 Reddit, 1 Twitter & 1 CrowdTangle
- Collaboration Friendly: Access to various team collaboration features
Edu Data Analytics Modules
- Toxicity Analysis: Pinpoint toxic and anti-social interactions in your dataset w/Google Perspective API
- Sentiment Analysis: Detect the polarity (neutral, negative, or positive) of posts in your dataset
- Network Visualizer: Discover and build various types of networks via the built-in network analysis and visualization module
- Twitter Bot Detection: Detect the presence of Twitter bot accounts and the use of automation w/Botometer API
Edu Data Sources
- Reddit: Live data collection for ≤ 7 consecutive days
- Crowdtangle Facebook/Instagram URL Search: Public Facebook/Instagram posts (≤ 10k ) that shared the same URL(s)(Req. CrowdTangle Account)
- Twitter Threads: Public replies (≤ 10K) to any public tweet posted within the previous 7 days (Req. a Twitter Developers Account)
- Twitter Academic Research Product Track: Not supported
- Import/Rehydrate Twitter IDs: Ability to recollect tweets based on a list of unique Twitter IDs
- Import CSV Files: Ability to import an existing dataset from a CSV file
- Import Twitter JSON Files: Not supported
Pro Account Type/Capacity
- Account Type: $349 USD for a 6-month subscription to support site infrastructure (server-side data collection, processing, analysis, visualization and extra storage capacity)
- Account Caps: ≤ 10M records shared across 50 datasets:
- Simultaneously Run Multiple Data Collectors: 2 Reddit, 1 Twitter & 1 CrowdTangle
- Collaboration Friendly: Access to various team collaboration features
Pro Data Analytics Modules
- Toxicity Analysis: Pinpoint toxic and anti-social interactions in your dataset w/Google Perspective API
- Sentiment Analysis: Detect the polarity (neutral, negative, or positive) of posts in your dataset
- Network Visualizer: Discover and build various types of networks via the built-in network analysis and visualization module
- Twitter Bot Detection: Detect the presence of Twitter bot accounts and the use of automation w/Botometer API
Pro Data Sources
- Reddit: Live and historical data collection for ≤ 31 consecutive days
- CrowdTangle Facebook/Instagram URL Search: Public Facebook/Instagram posts that shared the same URL(s) (Req. a CrowdTangle Account)
- Twitter Threads: Public replies (≤ 500K/mo.) to any public tweet posted within the previous 7 days (Req. Twitter Developer's Account.) (Users w/ Twitter Academic Research Product Track is not subjected to 500K/mo. or the 7-day limit)
- Twitter Academic Research Product Track: ≤ 10M tweets/month via 'full-archive (historical) search' (req. Twitter's approval)
- Import/Rehydrate Twitter IDs: Ability to recollect tweets based on a list of unique Twitter IDs
- Import CSV Files: Ability to import an existing dataset from a CSV file
- Import Twitter JSON Files: Ability to import an existing Twitter dataset from JSON/GZ file(s)
Case Studies and Tutorials
New to Communalytic? We have prepared a number of videos and text-based tutorials to help you get started.
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