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The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national election 2013. All natural sentences within the manifestos are part of the dataset. The units of analysis are standardized statements derived from these natural sentences by means of a set of unitizing rules based on grammar, not content. The coding procedure applies the AUTNES relational approach of recording subjects, predicates, and objects to party manifestos. The subject actor is usually the party, but it can also be another actor being cited in the manifesto. 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 statement best. One object actor can be recorded per statement, each with their name (if an individual is present) and organizational affiliation. The predicate numerically records whether the subject’s position towards the issue or object actor (if present) is one of (conditional) support, (conditional) rejection, or conveys a neutral stance. In addition to the basic subject–predicate–object structure we code character traits for all subject and object actors as well as justifications for issue statements, party record and pledges.
Topics: sentence (the text of the natural sentence); statement derived from the natural sentence; page number of the manifesto where the natural sentence can be found; organizational affiliation of the subject actor (usually the party); name of the subject actor if an individual; attributes of the subject actor; predicate (the relation between subject and object); predicate special (neutral position or a description of objective facts); issue category selected for the statement; statement refers to regulation of the issue on the European level; number of justifications referring to: the economy, protection of the welfare state, protection of the environment, security,...
Many but not all metadata providers use ELSST Thesaurus for their keywords.
Keywords
Not available
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
2013
Country
Österreich
Time dimension
Not available
Analysis unit
Not available
Universe
Not available
Sampling procedure
Total universe/Complete Enumeration
Kind of data
Not available
Data collection mode
Content Coding
Access
Publisher
GESIS Data Archive for the Social Sciences
Publication year
2017
Terms of data access
A - Data and documents are released for academic research and teaching.