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AUTNES Content Analysis of Party Manifestos 2017 (SUF edition)

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AUSSDA - Austrian Social Science Data Archive2025-12-18 更新2026-05-11 收录
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https://data.aussda.at/citation?persistentId=doi:10.11587/9LZSK5
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Full edition for scientific use. The AUTNES dataset on party manifestos covers the manifestos of the relevant parties that competed in the Austrian national election 2017. 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. 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 issue predicate numerically records whether the subject's position towards the issue (if present) is one of (conditional) support, (conditional) rejection, or conveys a neutral stance. Similarly, the object actor predicate numerically records whether the subject's position towards the object actor is one of support, rejection, or conveys a neutral stance. Variables: 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; issue predicate (the relation between subject and issue); issue category selected for the statement; statement refers to regulation of the issue on the European level; object actor predicate (relation between subject and object actor); organization of the object actor (usually the party); name of the object actor if individual; year of election for which the manifesto was published; party authoring the manifesto; title of the manifesto. Additionally coded was: ID number for each observation; sentence-ID.

供科研使用的完整版数据集。AUTNES政党宣言数据集(AUTNES)涵盖了参与2017年奥地利全国大选的相关参选政党的竞选宣言,宣言内的所有自然语句均纳入该数据集。分析单元为通过一套单元化规则从上述自然语句中提取得到的标准化陈述。该编码流程采用AUTNES关系分析法,对政党宣言中的主语、谓语与宾语进行标注。主语行为体通常为政党,也可以是宣言中引用的其他行为体。分析对象分为两类:议题与对象行为体。编码人员需从AUTNES议题编码体系中选取最贴合该陈述内容的单一议题,以此完成议题标注。每条陈述可标注一个对象行为体,需记录其姓名(若为个体)与所属组织。议题谓语以数值形式记录主语针对该议题(若存在)的立场:(有条件)支持、(有条件)反对,或持中立态度。同理,对象行为体谓语以数值形式记录主语针对该对象行为体的立场:支持、反对,或持中立态度。变量包括:自然语句原文(sentence);由自然语句提取得到的标准化陈述;自然语句所在宣言的页码;主语行为体的所属组织(通常为政党);主语行为体为个体时的姓名;议题谓语(主语与议题间的关系);为该陈述选取的议题类别;该陈述是否涉及欧盟层面的议题监管;对象行为体谓语(主语与对象行为体间的关系);对象行为体的所属组织(通常为政党);对象行为体为个体时的姓名;该宣言对应的选举年份;发布该宣言的政党;宣言标题。额外编码项包括:每条观测值的ID编号;语句ID(sentence-ID)。
提供机构:
University of Vienna
创建时间:
2021-01-01
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