Social Media Analysis Toolkit

Tools built with Pushshift. Inspired by the slackbot.

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About SMAT

The Social Media Analysis Toolkit (SMAT) was designed to help facilitate activists, journalists, researchers, and other social good organizations to analyze and visualize larger trends on a variety of platforms. Our intention is to provide easy to use tools that help you tell a story about something happening at a large scale online. The tools are designed to be quick and simple so that users could quickly respond to things like disinformation and hate as they occur, while also having the tools be rigorous enough to have applications in scholarly research. While we have built the framework, it is up to you and your curiosity to find what stories are waiting to be discovered.

NOTE: we only have T w i t t e r data for verified accounts for now. This project is still in beta so expect some bugs and let us know if you find them! More tools, variables, and a proper JS front-end/UI available soon in Version 1. We may also reach our user limits on Heroku! Please reach out to @quinndougherty4 on Twitter for technical issues.

Find us on gitlab or say hey at rebelliousdata[at]gmail.com.

rebellious data logo iDrama logo
Contributors: Emmi Bevensee, Jason Baumgartner, Quinn Dougherty, Jeremy Blackburn, Harry Momand, ZC, max aliapoulios, and others. Special thanks to the incredible iDrama research lab for their support.

Timeline

The timeline functionality takes a search term and makes a graph of how often it was written over time.
Search term: Choose platform: Since: must be YYYY-MM-DD (note: Reddit's earliest data is 2019-10-01) Until: must be YYYY-MM-DD Give me a changepoint (Shows a point where significant changes occurred)

Related Hashtag Detector

The hashtag functionality takes a search term and creates a bar graph of related hashtags.
Text to search for (do not use # symbol): Number of hashtags in graph: Since: must be YYYY-MM-DD Until: must be YYYY-MM-DD

Link Counter

The link counter functionality takes a search term and returns a bar graph counting links in comments with that term.
Search term: Choose platform: Since: must be YYYY-MM-DD (note: Reddit's earliest data is 2019-10-01) Until: must be YYYY-MM-DD Number of links in graph:

Activity

This takes a search term and creates a bar-graph of which authors or subreddit has the most activity.
Search term: Choose platform: Choose to breakdown by subreddit (reddit), author (reddit), screen name (twitter) or username (gab). Make sure breakdown and platform match!: Since: must be YYYY-MM-DD (note: Reddit's earliest data is 2019-10-01) Until: must be YYYY-MM-DD