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AUTNES Automatic Content Analysis of the Media Coverage 2013

Version
1.0.0
Resource Type
Dataset
Creator
  • Kleinen-von Königslöw, Katharina (Universität Wien)
  • Haselmayer, Martin (Universität Wien)
  • Jacobi, Carina (Universität Wien)
  • Eberl, Jakob-Moritz (Universität Wien)
  • Vonbun, Ramona (Universität Wien)
  • Schönbach, Klaus (Universität Wien)
  • Boomgaarden, Hajo G. (Universität Wien)
Other Title
  • Austrian National Election Study (Alternative Title)
Publication Date
2016-07-01
Contributor
  • Principal investigator (Data Collector)
Language
German
Classification
  • ZA:
    • Political Issues
    • Political Parties, Organizations
    • Communication, Public Opinion, Media
Description
  • Abstract

    This is a dataet on the media coverage on the 2013 Austrian National Election. 43,021 contributions from 61 print TV, radio and online media (selected according to various criteria to represent the Austrian media landscape as accurately as possible) were analyzed by means of automatic content analysis. All contributions refer to either a political party or a political candidate of the 2013 Austrian National Election. All contributions have been published between the 1st of August and the 29th of September 2013 (= election day). Articles were either provided by the APA database or downloaded using specially programmed scrapers. Central variables (selection): • Metadata such as u.a. Title and subtitle of the article; Medium; Release date of the post • Content coding: i.a. Abstract topic; Actors; frames; journalistic style. Topics: 1. Metadata: news story´s headline and byline; personalization in the headline (top candidate focus); medium: media outlet each news story appeared in, categorized by media type and media genre; name of the outlet that published or broadcasted the story; date on which the news story was published or broadcasted; number of the page on which a news story appeared; news category in which the news story appeared; length of the news story in words. 2. Political knowledge (Austria´s minimum voting age (sixteen years old), threshold of votes for entering parliament); style in which an articel is written, or an item is presented: conflict, proportion of emotion words in a news story (emotionalization); language of games, sportes and war; presence of an actor (parties, top candidates and members of government) in an article; policy issues (Wirtschaft, Wohlfahrtsstaat, Budget, Bildung und Kultur, Sicherheit, Bundesheer, Außenpolitik Europa, Infrastruktur, Gesellschaft, Umweltschutz, Institutionenreform, Immigration, undefined), no policy issue. Additionally coded was: unique ID of the article across all AmCAT servers; article-ID.
Temporal Coverage
  • 2013-08-18 / 2013-09-29
Geographic Coverage
  • Austria (AT)
Sampled Universe
Media coverage of the national election 2013 in Austria
Sampling
Total universe/Complete Enumeration
Collection Mode
  • Content Coding
Data and File Information
  • Number of Variables: 80
Availability
Download
A - Data and documents are released for academic research and teaching.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA5865 (Type: ZA-No.)
Publications
  • Haselmayer, Martin; Jacobi, Carina, Eberl, Jakob-Moritz; Vonbun, Ramona; Kleinen-von Königslöw, Katharina; Schönbach, Klaus; Boomgaarden, Hajo G.: AUTNES Automatic Content Analysis of the Media Coverage 2013 - Documentation Vienna: Edition 1.0.0, 2016

Update Metadata: 2018-02-13 | Issue Number: 8 | Registration Date: 2016-07-01

Kleinen-von Königslöw, Katharina; Haselmayer, Martin; Jacobi, Carina; Eberl, Jakob-Moritz; Vonbun, Ramona et. al. (2016): AUTNES Automatic Content Analysis of the Media Coverage 2013. Version: 1.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.12566