Abstract
This article introduces a novel method that combines a “big data” measurement of the content of individuals’ Facebook (FB) news feeds with traditional survey measures to explore the antecedents and effects of exposure to news and politics content on the site. Drawing on recent theoretical and methodological advances, we demonstrate how such a hybrid approach can be used to (a) untangle distinct channels of public affairs content within respondents’ FB news feeds, (b) explore why respondents vary in the extent to which they encounter public affairs content on the site, and (c) examine whether the amount and type of public affairs content flows in one’s FB is associated with political knowledge and participation above and beyond self-report measures of news media use.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
