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

https://hdl.handle.net/10161/3557

dc.language.iso

en_US

dc.subject

technological change

dc.subject

research and development

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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

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