AUTNES Content Analysis of Party Websites 2013

Resource Type
Dataset : Survey and aggregate data
  • Müller, Wolfgang C. (Universität Wien)
  • Bodlos, Anita (Universität Wien)
  • Dolezal, Martin (Universität Wien)
  • Eder, Nikolaus (Universität Wien)
  • Ennser-Jedenastik, Laurenz (Universität Wien)
  • Kaltenegger, Matthias (Universität Wien)
  • Meyer, Thomas M. (Universität Wien)
  • Praprotnik, Katrin (Universität Wien)
  • Winkler, Anna Katharina (Universität Wien)
Publication Date
  • Principal investigator (Data Collector)
  • ZA:
    • Political Parties, Organizations
    • Communication, Public Opinion, Media
  • CESSDA Topic Classification:
    • Language and linguistics
    • Government, political systems and organisation
    • Elections
  • Abstract

    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 organizational 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 more 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. Topics: 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 referring to the author (the party that operated the homepage): author is mentioned; author’s characteristics (competence, character, leadership, appearance, not discernible); author’s record (no record, record referring to policy issue, record not referring to policy issue); variables referring to issues: coded campaign issue; predicate (author’s position towards the coded policy issue: reject/criticize, neutral, support); policy issue; reference to policy at the EU level; justification of policy issue (no justification, economy, welfare state: expansive / protective, environment, security, education, governance, ethnic-national, religious, universalistic, not discernible); variables referring to up to ten object actors: object actor was coded; names of the object actors if individuals; object actor’s organisation; appearance (object actor is mentioned in written form, as a picture or both); predicate (relation between the author of the homepage and the object actor: reject/criticize, neutral, support, picture); object actor’s outfit (if the unit contains a picture); object actor makes a reference to the coded campaign issue and to the coded policy issue; object actor’s attributes (competence, character, leadership, appearance, not discernible); object actor’s record referring to policy issue or not; number of additional object actors that were not coded; variables referring to pictures: pictures of individuals that were not coded as object actors; groups of individuals (or category) in pictures (i.e. voter/people, political activist, woman, man, etc.); number of people (individuals of the respective category or group on the picture); the individuals on the picture support a party (reference to party x). Additionally coded was: ID, coder-ID.
Temporal Coverage
  • 2013-08-19 / 2013-09-28
Geographic Coverage
  • Austria (AT)
Sampled 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 Comment: Total universe/Complete Enumeration
Collection Mode
  • Content Coding
Data and File Information
  • Number of Variables: 144
A - Data and documents are released for academic research and teaching.
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Alternative Identifiers
  • ZA6881 (Type: ZA-No.)

Update Metadata: 2021-04-07 | Issue Number: 17 | Registration Date: 2017-01-02