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Pure Utrecht University
Doctoral thesis . 2023
License: CC BY NC
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.33540/1756...
Doctoral thesis . 2023 . Peer-reviewed
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Geography of News

Empirical Studies of German News Media
Authors: Ozgun, Burcu;

Geography of News

Abstract

This dissertation provides insights into the systematic regional variations in news content and unveils their regional determinants as well as their influence on the behavior of economic agents. It features three chapters with empirical analyses of the German news media, each addressing one of three distinct relations in the complex regional news system. The first chapter evaluates the potential of media data to capture regional peculiarities. The following chapter digs deeper into the alignment of regional news media coverage and innovation activities in regions. The third chapter shows how regional news content explains differences in people’s behavior. The dissertation establishes two news-related datasets at the sub-national level in Germany. In sum, the dissertation contributes to a better understanding of sub-national heterogeneity in media reporting, by showing that regional differences in media content both explain and are explained by regional socio-economic characteristics. The findings substantiate the potential of analyzing subnational developments through the use of news media information. Thereby this dissertation marks a starting point and reference for scholars aiming to study this promising area of research.

Country
Netherlands
Related Organizations
Keywords

economic geography, nieuwsmedia, news media, economische geografie

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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!
0
Average
Average
Average
Green