Read key findings and watch a video about our new study on how bot accounts affect the mix of content on Twitter.
Pew Research Center’s Data Labs uses computational methods to complement and expand on the Center’s existing research agenda. The team collects text, network, and behavioral datasets, uses innovative computational techniques and empirical strategies for analysis, and generates original research. Data Labs also explores the limitations of these data and methods, and works toward establishing standards for use and analysis. Learn more about Data Labs here. The Data Labs team also contributes to the Center’s Decoded blog, which examines the “how” behind our numbers – including lessons learned in computational social sciences.
An estimated two-thirds of tweeted links to popular websites are posted by automated Twitter accounts – not human beings.
Probability forecasts have gained prominence in recent years. But these forecasts may confuse potential voters and may even lower the likelihood that they vote.
An analysis of 9.7 million tweets reveals that news organizations played the largest role in which content was linked to in discussions about immigration compared with other information providers.
The most ideological members of Congress shared news stories on their Facebook pages more than twice as often as moderate legislators between Jan. 2, 2015, and July 20, 2017, according to a new Pew Research Center study that examined all official Facebook posts created by members of Congress in this period. The analysis included links […]
Political divides in the American news landscape do not end with Americans’ preferences for different news sources; rather, they extend to how members of the U.S. Congress communicate with constituents in the digital age.
More than half of comments submitted to the FCC on net neutrality used temporary or duplicate email addresses, and seven popular comments accounted for 38% of all submissions.
In the week after the Oct. 1 mass shooting in Las Vegas, partisan differences were on full display in how elected officials responded on Facebook.
In both legislative chambers, members’ ideology is a strong predictor of the number of people who follow them on Facebook.
Facebook posts from members of the 114th Congress attracted more attention when they contained disagreement with the opposing party than when they expressed bipartisanship, according to a Pew Research Center analysis of over 100,000 posts.
