The TwArχiv is a Twitter Archive Analyzer that is designed to take in a complete Twitter archive as downloaded from Twitter.com and subsequently analyse it with respect to the number of tweets/replies etc. On the most basic level it displays how a persons tweeting frequency changes over time and how the proportion of tweets/retweets/replies changes over time. The TwArχiv additionally tries to predict the gender of the people that a given user retweets and replies to, potentially uncovering unconscious bias when it comes to online interactions. Furthermore, the TwArχiv uses the geolocation to display a Tweet-location and movement profile for the user.
TwArχiv is a Python / Django application that has been designed to be deployed on Heroku. For the file storage and user management it interfaces with Open Humans through OAuth. A deployed version can be seen live in action at twarxiv.org. Read the INSTALL.md for detailed installation instructions 👍.
We are always happy about new contributors! Open an issue if you find a bug or have feature idea. If you want to contribute code please head to our CONTRIBUTING.md. Also: You have a larger feature/analysis idea that's not in TwArχiv yet? Open Humans is giving out grants of up to $5,000 for projects that help to grow their eco-system that are a perfect match for this!