Numbers, Facts and Trends Shaping Your World

About Follow


Stefan Wojcik

Computational Social Scientist

Stefan Wojcik is a computational social scientist at Pew Research Center. He is an expert in applying data science tools and methods to social science research questions. His work involves using digital trace or social media data to understand the flow of information online, public opinion and behavior. Wojcik has authored reports on the prevalence of links posted by automated accounts on Twitter. He received his Ph.D. in political science from the University of Colorado, where he conducted research on legislative networks in Brazil. In his postdoctoral research at Northeastern and Harvard universities, his work focused on forecasting global presidential elections and tracing public opinion with social media data. His work appears in academic journals such as Science, Political Science Research and Methods, Political Research Quarterly and Legislative Studies Quarterly.


December 17, 2018

Gender and Jobs in Online Image Searches

Men are overrepresented in online image search results across a majority of jobs examined; women appear lower than men in such search results for many jobs

Pew Research CenterJune 21, 2018

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.

Pew Research CenterApril 9, 2018

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.

Internet & TechApril 9, 2018

Bots in the Twittersphere

An estimated two-thirds of tweeted links to popular websites are posted by automated Twitter accounts – not human beings.