People in 38 countries were asked how often they use the internet – as well as how often they use social networking sites like Facebook, Twitter and other sites – to get news. Specifically, they were asked whether they did each activity several times a day, once a day, several times a week, once a […]
By Lee Rainie Pew Research Center released a report on Nov. 29 analyzing the 21.7 million comments submitted online during the U.S. Federal Communications Commission’s open public comment period on net neutrality. Fight for the Future has raised concerns about some aspects of our report, two of which point out inaccuracies that do not change […]
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."
The next frontier of public-opinion research is already visible in the “big data” revolution. Through the digital traces of our everyday activities, we are creating a massive volume of information that can tell us a lot about ourselves. Smart data science can identify patterns in our behaviors and interests. And in some domains, such as […]
Analysis of over 1 million apps in Google’s Android operating system in 2014 shows apps can seek 235 different kinds of permissions from smartphone users. The average app asks for five permissions.
We wanted to analyze the role Facebook played as a means for people to hear about, discuss and share local news. But getting the data we needed wasn't easy.
A conversation with Lee Rainie, director of the Pew Research Internet Project, about the project's new report on mapping Twitter conversations.
People connect to form groups on Twitter for a variety of purposes. The networks they create have identifiable contours that are shaped by the topic being discussed, the information and influencers driving the conversation, and the social network structures of the participants.
While many see promise in the future of data analysis, some fear that work with gigantic stores of information could lead to privacy abuses and mistaken forecasts