Personalizing Ideology in the News: The Impact of News Aggregators and Collective Filtering
Repository Usage Stats
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 https://hdl.handle.net/10161/3557.
More InfoShow full item record
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.
Rights for Collection: Undergraduate Honors Theses and Student papers