AUTNES Content Analysis of Party Facebook Pages 2013 (SUF edition)

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 2013. Data collection took place in autumn 2015. We retrieved posts for all parties that passed the threshold for entering the parliament in 2013. 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, text and image, image only). 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). In addition to the basic subject–predicate–object structure we code several additional variables: character traits, party records as well as a description of every actor’s outfit. Moreover, the dataset contains variables describing the Facebook page, the coding unit as well as images and calls for (preference) votes or campaign participation.

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; links that were published in the posting; hashtags; number of likes, comments and shares of the posting; variables referring to posting: technical problems with coding; call for vote (for the author of the page); call for a preference vote with the name of the respective candidate; call for campaign participation in general and on Facebook; content of the posting: continuous text, picture, video; variables referring to the author of the Facebook page: author’s organization; author’s name; mention of the author in the posting; author’s outfit; author’s characteristics; author’s record; variables referring to issues: campaign issue; predicate; policy issue; reference to policy issue at the EU level; variables referring to object actors: object actor presence; object actor’s name; object actor’s organisation; appearance; predicate; object actor’s outfit; reference to the coded campaign issue and to the coded policy issue; object actor’s characteristics; object actor’s record; number of additional object actors that were not coded; variables referring to pictures: pictures of individuals that were not coded as object actors; description of individuals; number of people; reference to a party.

本数据集为科研专用完整版。AUTNES政党Facebook主页数据集收录了2013年奥地利国会大选竞选周期六周内各政党发布的Facebook帖子信息。数据采集工作于2015年秋季完成。我们获取了所有在2013年国会选举中达到议会准入门槛的政党的帖子数据，每条帖子均为一个独立分析单元。

编码流程采用AUTNES关联式方法，对政党Facebook主页的主体（subject）、谓语（predicate）和客体（object）进行标注。主体为运营该Facebook主页的政党或候选人，编码内容涵盖其姓名（若为个人主体）、组织隶属关系，以及编码单元的内容呈现形式（仅文本、文本搭配图片、仅图片）。

客体分为两类：政策议题与客体行动者。编码人员需从AUTNES议题编码体系中选取编码单元内占主导地位的政策议题与竞选议题作为客体。议题谓语以数值形式记录主体对该政策议题的立场：支持、反对，或持中立/模棱两可的态度。每个编码单元最多可标注10个客体行动者，标注规则与主体行动者一致，并补充主体行动者对其的评价（正面、负面或中性）。

除基础的主体-谓语-客体结构外，本数据集还编码了多项附加变量：人格特质、政党档案，以及每位行动者的着装描述。此外，数据集还包含用于描述Facebook主页、编码单元、图片内容，以及呼吁（偏好性）投票或竞选参与的相关变量。

变量说明：
1. 帖子相关变量：帖子URL、Facebook主页类型（政党主页或候选人主页）、发布时间戳（帖子发布日期）、帖子文本、帖子中包含的外部链接、话题标签（hashtags）、帖子的点赞数、评论数与分享数；
2. 帖子编码相关变量：编码过程技术故障标记、呼吁为页面作者投票、呼吁为特定候选人投偏好性选票、通用竞选参与呼吁及Facebook平台内竞选参与呼吁；
3. 帖子内容类型变量：连续文本、图片、视频；
4. Facebook主页作者相关变量：作者所属组织、作者姓名、帖子中对作者的提及内容、作者着装、作者人格特质、作者档案；
5. 议题相关变量：竞选议题、谓语、政策议题、欧盟层面政策议题提及情况；
6. 客体行动者相关变量：客体行动者存在标记、客体行动者姓名、客体行动者所属组织、内容呈现形式、谓语、客体行动者着装、对应编码的竞选议题与政策议题引用、客体行动者人格特质、客体行动者档案、未被编码的额外客体行动者数量；
7. 图片相关变量：未被标注为客体行动者的个人图片、个人描述信息、图片中人物数量、所属政党引用。