The New York Times / USA Today / Twitter / Facebook / Pearson / Huffington Post / the Washington Post / Garrett / Yahoo / Microsoft / CNN / /
Country
United States / / /
Facility
Carnegie Mellon University / Stanford University / /
IndustryTerm
online news / search-based opinion stories / Internet Explorer web browser / politics/media / news site / online choice environment / web browsing records / machine learning algorithms / Online News Consumption / online behavior / recommendation systems / Online publishing / costly equipment / Internet population / then using natural language processing / web browsing data / social media platforms / Internet Explorer users / democrats technology / online conditions / personalized web search increase ideological segregation / media economics / social media / media bias / social media sites / search engines / web browsing behavior / individual-level web browsing behavior / online channels / online segregation / online personalization / social media usage / web browsing histories / web content consumption / web search / natural language processing / social networks / Internet users / web address / social network / search-discovered news stories / web domains / /
MarketIndex
SET 100 / /
Organization
Stanford University / Carnegie Mellon University / Pittsburgh / U.S. embassy / /
Person
Matthew Salganik / Justin M. Rao / Duncan Watts / Seth R. Flaxman Carnegie / Mathew Goldman / Sharad Goel / David Eil / Rajiv Sethi / / /
Filter Bubbles, Echo Chambers, and Online News Consumption⇤ Seth R. Flaxman Carnegie Melon University Sharad Goel