'Tweety Holmes' - Twitter Profile Modifier

Experimental Social Computing

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Project Overview

Our team of 5 students is developing a Chrome extension that will modify the UI a user's profile based on a content analysis of their tweets. 

Project DELIVERABLEs

  • Presentations

Awards

The project was accepted to CSCW '18 as an interactive demo, and the team will be presenting it this November. 

Background

If you go to a user's Twitter profile you'll see their follower count, the number of tweets they have, when they created an account and other metrics that attempt to describe their activity on the network. But perhaps there is other information that is more relevant when you are deciding whether or not you want to interact with a user. Would you want to follow a user if you knew a large amount of their content was plagiarized? Or if they engage in abusive behavior? These are things you might not be able to see from a visual scan of their most recent tweets or by other metrics provided. With this in mind we are developing a Chrome extension to be able to identify certain behaviors and alert users by modifying Twitter in the browser.

Early Mockups

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This is an early mockup for how our extension may change the UI of the profile for a user who is flagged for stealing content.  

  • "Followers You Know" section replaced by "Follow Instead" section which would list users who had their content stolen by this page

  • Metric for percentage of stolen tweets is added to the bio

  • Tweets on the user's timeline that are flagged as stolen are highlighted