MIT Technology Review has created a set of visualizations that uses data about Twitter activity to illustrate the polarization of political discourse in the United States. The visualizations include multiple cluster maps demonstrating that accounts that follow each other tweet similar content. In addition, diagrams show that the most partisan accounts, which include bot accounts that tweet hundreds of times a day, tweet significantly more than accounts in the political center. The visualizations also show the polarization of Turkish and Russian accounts.
Using Twitter to Visualize Polarization
Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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