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

DOI

Full edition for scientific use. This is a dataset on the media coverage on the 2013 Austrian National Election. 43021 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 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 article 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 (Amsterdam Content Analysis Toolkit) servers; article-ID.

Total universe/Complete enumeration

Content coding

Identifier
DOI https://doi.org/10.11587/NJ1ZTP
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=a117354174867aaa6821f020cea05b5a6b039a12e33fbdc2efe5c350d485555e
Provenance
Creator Kleinen-von Königslöw, Katharina; Haselmayer, Martin; Jacobi, Carina; Eberl, Jakob-Moritz; Vonbun, Ramona; Schönbach, Klaus; Boomgaarden, Hajo G.
Publisher AUSSDA; The Austrian Social Science Data Archive
Publication Year 2022
Rights For more Information please visit AUSSDA's web page
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Humanities; Linguistics
Spatial Coverage Austria