Researchers from Russian and Danish universities have released a dataset of Russian tweets and comments posted on online news articles to help develop automated methods for identifying fake news. The tweets are responses to controversial claims made on Twitter, such as that the United States military helped terrorist group ISIL in Syria, and the comments were posted in response to stories published on the websites of RT, a television network funded by the Russian government, and Meduza, a Latvian news website. One way to identify fake news is to determine how others are reacting to the claims, and the dataset labels the tweets and comments as supporting, denying, asking for further evidence, and commenting in response to claims being made in the tweets or news articles.
Using Russian Tweets to Detect Fake News
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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