The Knight Foundation, a non-profit that promotes journalism, has created a series of visualizations that use more than 10 million tweets from 700,000 Twitters accounts to visualize the distribution of fake news on Twitter. The visualizations, which include cluster maps, charts, and interactive graphs overlaid on clock faces, show the differences between bot and human Twitter activity. For example, bots tweet 24 hours a day at regular intervals, while humans do not, and follow the same accounts as other bots. The cluster maps show that nearly 80 percent of the fake news spread on Twitter is spread by accounts associated with just 24 news outlets.
Visualizing Fake News on Twitter
Michael McLaughlin is a research assistant at the Center for Data Innovation. He previously worked at Oracle and held internships at USA TODAY and in local government. Prior to joining the Center for Data Innovation, Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He is currently pursuing his Master’s in Communication at Stanford University, specializing in Data Journalism.
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