Personalizing Ideology in the News: The Impact of News Aggregators and Collective Filtering
dc.contributor.author | Burke, Anna | |
dc.date.accessioned | 2011-04-18T16:26:35Z | |
dc.date.available | 2011-04-18T16:26:35Z | |
dc.date.issued | 2011-04-18 | |
dc.department | Economics | |
dc.description.abstract | This paper finds state-specific 2- and 3-word phrases that reflect the Republican and Democratic language most commonly used by Congress people from that state by performing content analysis regressions on the 2009-2010 Congressional Record. The relative percent of Republican “buzz word” search for each metro area within a state is then compared to the percent of the population from that metro who voted Republican in the 2008 Presidential Election. I find a significant correlation between the percentage of Republican voters in a metro and the relative percentage of Republican search terms in that same area. | |
dc.identifier.uri | ||
dc.language.iso | en_US | |
dc.subject | technological change | |
dc.subject | research and development | |
dc.subject | diffusion processes | |
dc.subject | intellectual property rights | |
dc.subject | government policy | |
dc.title | Personalizing Ideology in the News: The Impact of News Aggregators and Collective Filtering | |
dc.type | Honors thesis |