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Political Insights: Exploring partisanship in Web search queries

Authors: Erik Borra; Ingmar Weber;

Political Insights: Exploring partisanship in Web search queries

Abstract

We developed Political Insights, an online searchable database of politically charged queries, which allows you to obtain topical insights into partisan concern. In this paper we demonstrate how you can discover such political queries and how to lay bare which issues are most salient to political audiences. We employ anonymized search engine queries resulting in a click on U.S. political blogs to calculate the probability that a query will land on blogs of a particular leaning. We are thus able to ‘charge’ queries politically and to group them along opposing partisan lines. Finally, by comparing the zip codes of users submitting these queries with election results, we find that the leaning of blogs people read correlates well with their likely voting behavior.

Country
Netherlands
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320, 004

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Average
Green
gold