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What follows what? Relations between economic indicators, economic expectations of the public, and news on the general economy and unemployment in Germany, 2002–2011


Lischka, Juliane A (2015). What follows what? Relations between economic indicators, economic expectations of the public, and news on the general economy and unemployment in Germany, 2002–2011. Journalism and Mass Communication Quarterly, 92(2):374-398.

Abstract

This study aims to understand dynamic agenda-building and agenda-setting processes between real-world indicators, public expectations (PEs), and aggregated news on the general economy and unemployment for the four most popular general news outlets in Germany from 2002 to 2011: two public service, a commercial news show, and a tabloid newspaper. Vector autoregression models and Granger causality tests reveal that (1) news tone (NT) relates to real-world indicators; (2) PEs for the general economy and unemployment are partly set by the tone of news on the general economy, especially during recession times; and (3) PEs can forecast the future real-world economy.

Abstract

This study aims to understand dynamic agenda-building and agenda-setting processes between real-world indicators, public expectations (PEs), and aggregated news on the general economy and unemployment for the four most popular general news outlets in Germany from 2002 to 2011: two public service, a commercial news show, and a tabloid newspaper. Vector autoregression models and Granger causality tests reveal that (1) news tone (NT) relates to real-world indicators; (2) PEs for the general economy and unemployment are partly set by the tone of news on the general economy, especially during recession times; and (3) PEs can forecast the future real-world economy.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Mass Communication and Media Research
Dewey Decimal Classification:700 Arts
Language:English
Date:2015
Deposited On:23 Sep 2015 15:28
Last Modified:08 Dec 2017 14:04
Publisher:Sage Publications Ltd.
ISSN:1077-6990
Publisher DOI:https://doi.org/10.1177/1077699015574098

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