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. 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.
Taking Sides on Facebook: How Congressional Outreach Changed Under President Trump
Democratic legislators’ opposition to political adversaries on Facebook spiked after Trump’s election, while “angry” reactions to posts by members of Congress increased among followers.
Sharing the News in a Polarized Congress
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.
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Moderates in Congress go local on Facebook more than the most ideological members
For the average moderate legislator, about 54% of a member’s Facebook posts discussed local issues between 2015 and 2017. But for the average very liberal or very conservative legislator, just 38% of posts dealt with local issues.
‘Anger’ topped ‘love’ when Facebook users reacted to lawmakers’ posts after 2016 election
The U.S. congressional Facebook audience used the “angry” button in response to lawmakers’ posts nearly 14 million times following the 2016 election.
The news that bots share on Twitter tends not to focus on politics
On Twitter, suspected bots are far more active in sharing links to news sites focusing on nonpolitical content than to sites with a political focus.
5 things to know about bots on Twitter
Read key findings and watch a video about our new study on how bot accounts affect the mix of content on Twitter.
Bots in the Twittersphere
An estimated two-thirds of tweeted links to popular websites are posted by automated Twitter accounts – not human beings.
Use of election forecasts in campaign coverage can confuse voters and may lower turnout
Probability forecasts have gained prominence in recent years. But these forecasts may confuse potential voters and may even lower the likelihood that they vote.
Sources Shared on Twitter: A Case Study on Immigration
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.
Very liberal or conservative legislators most likely to share news on Facebook
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 […]
Public Comments to the Federal Communications Commission About Net Neutrality Contain Many Inaccuracies and Duplicates
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.
After Las Vegas attack, Democrats in Congress were far more likely than Republicans to mention guns on Facebook
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.