Summary information

Study title

AUTNES Manual Content Analysis of the Media Coverage 2013 (SUF edition)

Creator

Eberl, Jakob-Moritz (University of Vienna)
Vonbun, Ramona (University of Vienna)
Haselmayer, Martin (University of Vienna)
Jacobi, Carina (University of Vienna)
Kleinen-von Königslöw, Katharina (University of Vienna)
Schönbach, Klaus (University of Vienna)
Boomgaarden, Hajo G. (University of Vienna)

Study number / PID

doi:10.11587/JCOZJB (DOI)

ZA5864 (GESIS ZA number)

10.4232/1.12565 (GESIS doi (Version 1.0.0))

Data access

Information not available

Series

AUTNES

Austrian National Election Study

Abstract

Full edition for scientific use. This is a dataset on the media coverage on the 2013 Austrian National Election. 9000 contributions from 14 print and TV media (selected according to various criteria in order to represent the Austrian media landscape as accurately as possible) were examined by means of manual content analysis. All contributions refer either to a political party or to a political candidate of the Austrian National Election 2013. All contributions have been published between 18th August and 29th September 2013 (= election day). Articles were provided by the APA database. Central variables (selection): Metadata: Title and subtitle, medium, publication date; Formal coding: visualisation, contribution type, presentation elements of the television contribution; Content coding at the article level: topic, actor, frames; Content-related coding at the sentence level: subject actor, subject, topic, topic evaluation, object actor, actor evaluation.

Methodology

Data collection period

19/08/2013 - 29/09/2013

Country

Austria

Time dimension

Cross-section

Analysis unit

Text unit

Universe

Media coverage of the national election 2013 in Austria

Sampling procedure

Total universe/Complete enumeration

Kind of data

Numeric

Data collection mode

Content coding

Funding information

Funder

Austrian Science Fund (FWF)

Grant number

S10908-G11

Access

Publisher

The Austrian Social Science Data Archive

Publication year

2022

Terms of data access

For more Information please visit AUSSDA's web page

Related publications

Not available