AUTNES Content Analysis of Party Press Releases 2017 (SUF edition)


Full edition for scientific use. The AUTNES coding of party press releases covers all press releases that were issued by parties gaining at least two percent of the votes in the national election 2017. The coding procedure applies the AUTNES relational approach of recording subjects, predicates, and objects to press releases. The subject is the person or party that features as the sender of the message in the title of the press release. There are two types of objects: issues and object actors. Issues are recorded by coders selecting from the AUTNES issue coding scheme the one issue that fits the content of the press release’s title best. The issue predicate numerically records whether the subject’s position towards the issue is one of support, rejection, or conveys a neutral/ambivalent stance. This procedure (coding of predicate and issue) is repeated for the subtitle of the press release. Up to three object actors are recorded from the information in the title of the press release, 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). Variables: party authoring the press release; sender (the three-letter APA channel through which the press release was sent); keywords of the press release; title; subtitle; text; name of first and second subject actor; organisational affiliation of these subject actors; issue of title and subtitle; issue predicate of title and subtitle (position towards the coded issue of title and subtitle); reference of title and subtitle to policy at the EU level; up to three object actors: name and organisational affiliation; object actor predicates (the relation between the subject and each object actor as support, criticism/rejection, or neutral); bipartisan press release (press release was issued in by politicians from two different parties). Additionally coded was: ID of individual press releases; coder-ID.

Total universe/Complete enumeration

Content coding

Metadata Access
Creator Müller, Wolfgang C.; Bodlos, Anita; Ennser-Jedenastik, Laurenz; Gahn, Christina; Graf, Elisabeth; Haselmayer, Martin; Haudum, Teresa; Huber, Lena Maria; Meyer, Thomas M.; Reidinger, Verena
Publisher AUSSDA; The Austrian Social Science Data Archive
Publication Year 2021
Rights For more Information please visit AUSSDA's web page
OpenAccess true
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage Austria