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AUTNES Content Analysis of Party Websites 2013 (SUF edition)
Creator
Müller, Wolfgang C. (University of Vienna)
Bodlos, Anita (University of Vienna)
Dolezal, Martin (University of Vienna)
Eder, Nikolaus (University of Vienna)
Ennser-Jedenastik, Laurenz (University of Vienna)
Kaltenegger, Matthias (University of Vienna)
Meyer, Thomas M. (University of Vienna)
Praprotnik, Katrin (University of Vienna)
Winkler, Anna Katharina (University of Vienna)
Study number / PID
doi:10.11587/TQVSLQ (DOI)
ZA6881 (GESIS ZA number)
10.4232/1.12698 (GESIS doi (Version 1.0.0))
Data access
Information not available
Series
AUTNES
Austrian National Election Study
Abstract
Full edition for scientific use. The dataset “AUTNES Content Analysis of Party Websites 2013” covers all party websites of parties gaining at least two percent of the votes in the 2013 national election. The party websites were saved each day during the six weeks prior to the general election in 2013. The coding units are graphical or textual elements on the website. The coding procedure applies the AUTNES relational approach of recording subjects, predicates, and objects to party websites. The subject is the party that operates the website. There are two types of objects: issues and object actors. Coders record issues by selecting from the AUTNES issue coding scheme the dominant policy issue and the dominant campaign issue in the coding unit. The issue predicate numerically records whether the subject’s position towards the policy issue is one of support, rejection, or conveys a neutral/ambivalent stance. Up to ten object actors are recorded from each coding unit, each with their name (if an individual is present) and organisational affiliation, as well as the evaluation by the subject actor (positive, negative or neutral) and appearance in the coding unit (text only, text and image, image only). In addition to the basic subject–predicate–object structure we code several additional variables: character traits and party records for all actors, and justifications for issue statements. Also, the dataset contains variables describing the website, the coding units and images visible on the website. List of variables: ID, coder-ID; variables referring to the homepage: URL; type of homepage (party homepage); date and time of saving; variables referring to the coding unit: unit-ID; number of days a unit was online; new unit (unit is online for the first time); visible on a screen of standard size when opening the homepage; category (start picture, head, menu, news, policies, campaign, schedule, twitterwall, facebook, blogs); continuous text; picture; video; variables...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
19/08/2013 - 28/09/2013
Country
Austria
Time dimension
Cross-section
Analysis unit
Text unit
Universe
Party websites of all six parliamentary parties and NEOS (who was not represented in the parliament before 2013) were saved each day in the six weeks prior to the general election in 2013. Hence, the dataset captures changes from day to day during the campaign. The coding is restricted to the most important page of the website, thus to the “homepage” or start page of a website.
Sampling procedure
Total universe/Complete enumeration
Kind of data
Numeric
Data collection mode
Content coding
Funding information
Funder
Austrian Science Fund (FWF)
Grant number
S10903-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