"Twitter Mediator" is an imagined tool that could be implemented within the Twitter platform to visually inform users about the political leanings of the content they are engaging with. This project exists in accompaniment with Matthew's Degree Thesis, which is on the cause and effect of political polarization across social media platforms, specifically in relation to how digital platforms' user interface designs encourage political separateness.

• Understand how users engage with political content online and how it affects their own political views.
• Create a tool that clearly shows the political leanings of individual accounts and Tweets.
• Compile this information into an easy-to-read interface explaining the political bias of users' algorithmically chosen content.
• Help users identify when they are engaging with content that disproportionately or maliciously influences political discourse.

In order to create a tool that would be used by individuals, real-life experiences and opinions from social media users were collected to be used as research for the basis of this project. Applying the outcomes of the thesis about user interface and political division, the stories gathered from real people helped lead the process for this project.
Conducted interviews with a number of social media users, focusing on engagement with platforms and their influence.

• Researched the statistics of political bias of accounts and Tweets, and how this affects users.
• Learned about how users ingest information from their social media accounts.
• Created a space within the Twitter visual language that can be easily understood by users.

Because this imagined tool would exist within the Twitter design space, it was imperative to utilize existing elements of the Twitter design model, while also ensuring readability, novelty, and interest. The tool needs to be unbiased itself and easily accessible to the average Twitter user.

• Takes inspiration from the existing design of the Twitter interface while also creating a new look that will draw in users.
• Translates complex information into an easily readable interface that the average social media user can understand.
• Utilizes color schemes that are familiar to users, such as red and blue in reference to political parties.
• Ensures that the tool itself remains unbiased, so as not to accidentally influence or alienate users.