In both legislative chambers, members’ ideology is a strong predictor of the number of people who follow them on Facebook.
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.
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.
A new Pew Research Center analysis of more than 200,000 press releases and Facebook posts from the official accounts of members of the 114th Congress uses methods from the emerging field of computational social science to quantify how often legislators themselves “go negative” in their outreach to the public.
A conversation with the director of the Center's Data Labs team on their new report on congressional communications and the uses and misuses of "big data."
How scholars, companies and workers are using Mechanical Turk, a ‘gig economy’ platform, for tasks computers can’t handle
On cellphones, longer news stories get about twice the engaged time from readers as shorter pieces do. They also get roughly the same number of visitors.
Presidential candidates were mentioned in over 350,000 comments in May, June and September 2015, with a high level of early interest in Bernie Sanders
There's more money in the political system than at any time since the reforms of the 1970s, a trend that concerns most Americans regardless of party or ideology.
