The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
AUTNES Content Analysis of Campaign Facebook Pages 2017 (SUF edition)
Creator
Müller, Wolfgang C. (University of Vienna)
Bodlos, Anita (University of Vienna)
Ennser-Jedenastik, Laurenz (University of Vienna)
Gahn, Christina (University of Vienna)
Graf, Elisabeth (University of Vienna)
Haselmayer, Martin (University of Vienna)
Huber, Lena Maria (University of Vienna)
Meyer, Thomas M. (University of Vienna)
Reidinger, Verena (University of Vienna)
Study number / PID
doi:10.11587/17OKDP (DOI)
Data access
Information not available
Series
AUTNES
Austrian National Election Study
Abstract
Full edition for scientific use. The AUTNES dataset on party Facebook pages contains information on parties’ Facebook posts during the six weeks of election campaign for the Austrian general election in 2017. We retrieved posts for all relevant parties and their top candidates. Each post constitutes a unit of analysis. The coding procedure applies the AUTNES relational approach of recording subjects, predicates, and objects to party Facebook pages. The subject is the party or candidate that operates the Facebook page and is coded with the name (if an individual is present), organisational affiliation and appearance in the coding unit (text only, picture only, text and picture). There are two types of objects: issues and object actors. Issues are recorded by coders 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 in the same way as the subject actor, supplemented with an evaluation by the subject actor (positive, negative, or neutral), as well as references to campaign or policy issues. In addition to the basic subject–predicate–object structure, we code several additional variables: variables describing the Facebook page, the coding unit and user interactions.
Variables: Variables referring to Facebook posting: URL; type of Facebook page (party or candidate page); timestamp (date when the posting was published); text of the posting; number of interactions and date of their collection; technical problems with coding; content of the posting: continuous text, picture, video; variables referring to the author of the Facebook page: author’s organisation; author’s name; mention of the author in the posting; variables referring to issues: campaign issue; predicate; policy...
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
04/09/2017 - 14/10/2017
Country
Austria
Time dimension
Longitudinal: Trend/Repeated cross-section
Analysis unit
Text Unit
Universe
All Facebook postings of relevant parties and their lead candidates in the six weeks before the national election in 2017.
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
Funder
Federal Ministry of Science, Research and Economy
Grant number
HRSM - ACIER
Access
Publisher
The Austrian Social Science Data Archive
Publication year
2021
Terms of data access
For more Information please visit AUSSDA's web page