Personalizing Ideology in the News: The Impact of News Aggregators and Collective Filtering
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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.
Subjecttechnological change; research and development; diffusion processes; intellectual property rights; government policy
CitationBurke, Anna (2011). Personalizing Ideology in the News: The Impact of News Aggregators and Collective Filtering. Honors thesis, Duke University. Retrieved from http://hdl.handle.net/10161/3557.
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Rights for Collection: Undergraduate Honors Theses and Student papers