AUTNES Content Analysis of Party Websites 2013 (SUF edition)

Full edition for scientific use. The dataset “AUTNES Content Analysis of Party Websites 2013” covers all party websites of parties gaining at least two percent of the votes in the 2013 national election. The party websites were saved each day during the six weeks prior to the general election in 2013. The coding units are graphical or textual elements on the website. The coding procedure applies the AUTNES relational approach of recording subjects, predicates, and objects to party websites. The subject is the party that operates the website. There are two types of objects: issues and object actors. Coders record issues by 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, 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) and appearance in the coding unit (text only, text and image, image only). In addition to the basic subject–predicate–object structure we code several additional variables: character traits and party records for all actors, and justifications for issue statements. Also, the dataset contains variables describing the website, the coding units and images visible on the website. List of variables: ID, coder-ID; variables referring to the homepage: URL; type of homepage (party homepage); date and time of saving; variables referring to the coding unit: unit-ID; number of days a unit was online; new unit (unit is online for the first time); visible on a screen of standard size when opening the homepage; category (start picture, head, menu, news, policies, campaign, schedule, twitterwall, facebook, blogs); continuous text; picture; video; variables referring to the author (the party that operated the homepage): author is mentioned; author’s characteristics (competence, character, leadership, appearance, not classifiable); author’s record (no record, record referring to policy issue, record not referring to policy issue); variables referring to issues: coded campaign issue; predicate (author’s position towards the coded policy issue: rejection/criticism, neutral, support); policy issue; reference to policy at the EU level; justification of policy issue (no justification, economy, welfare state: expansive / protective, environment, security, education, governance, ethnic-national, religious, universalistic, not classifiable); variables referring to up to ten object actors: object actor was coded; names of the object actors if individuals; object actor’s organisation; appearance (object actor is mentioned in written form, as a picture or both); predicate (relation between the author of the homepage and the object actor: rejection/criticism, neutral, support, picture); object actor’s outfit (if the unit contains a picture); object actor makes a reference to the coded campaign issue and to the coded policy issue; object actor’s attributes (competence, character, leadership, appearance, not classifiable); object actor’s record referring to policy issue or not; number of additional object actors that were not coded; variables referring to pictures: pictures of individuals that were not coded as object actors; groups of individuals (or category) in pictures (i.e. voter/people, political activist, woman, man, etc.); number of people (individuals of the respective category or group on the picture); the individuals on the picture support a party (reference to party x).

科研专用完整版。本数据集"2013年政党网站内容分析（AUTNES Content Analysis of Party Websites 2013）"覆盖了所有在2013年全国选举中得票率不低于2%的政党所运营的政党网站。上述政党网站于2013年大选前六周内每日完成存档。
编码单元为网站上的图形或文本元素。编码流程采用AUTNES关系分析法，对政党网站的主体、谓项与客体进行标注。主体即运营该网站的政党。客体分为两类：政策议题与客体行动者。
编码人员需从AUTNES议题编码框架中选取编码单元内的核心政策议题与核心竞选议题，以此完成议题标注。议题谓项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/模糊态度。
每个编码单元最多标注10个客体行动者，每个行动者需记录其姓名（若为个体）、所属组织，以及主体行动者对其的评价（正面、负面或中立），还有该行动者在编码单元中的呈现形式（仅文本、文本加图片、仅图片）。
除基础的主体-谓项-客体结构外，本数据集还标注了多项额外变量：所有行动者的性格特质与政党档案，以及议题表述的佐证依据。此外，数据集还包含描述网站、编码单元及网站内可见图片的相关变量。
变量清单如下：
ID、编码人员ID；
网站首页相关变量：统一资源定位符（Uniform Resource Locator，URL）、首页类型（政党官网首页）、存档日期与时间；
编码单元相关变量：单元ID、单元在线时长、新单元（首次上线的编码单元）、打开首页时可在标准尺寸屏幕内可见的内容、类别（启动页图片、页眉、菜单、新闻、政策板块、竞选板块、日程安排、推特墙、脸书、博客）、连续文本、图片、视频；
运营方相关变量：是否提及运营方、运营方特质（能力、性格、领导力、形象、无法归类）、运营方档案（无档案、涉及政策议题的档案、不涉及政策议题的档案）；
议题相关变量：标注的竞选议题、谓项（运营方对所标注政策议题的立场：反对/批评、中立、支持）、政策议题、欧盟层面政策提及、政策议题佐证依据（无佐证、经济、福利国家：扩张型/保护型、环境、安全、教育、治理、族裔-民族、宗教、普世价值、无法归类）；
最多10个客体行动者相关变量：是否标注客体行动者、个体客体行动者的姓名、客体行动者的所属组织、呈现形式（客体行动者以书面形式提及、以图片形式呈现或两者兼具）、谓项（运营方与客体行动者之间的关系：反对/批评、中立、支持、图片提及）、客体行动者着装（若编码单元包含图片）、客体行动者是否提及所标注的竞选议题与政策议题、客体行动者特质（能力、性格、领导力、形象、无法归类）、客体行动者是否有涉及政策议题的档案、未标注的额外客体行动者数量；
图片相关变量：未被标注为客体行动者的个体图片、图片中的个体群体（或类别，即选民/民众、政治活动家、女性、男性等）、图片中对应类别或群体的个体数量、图片中的个体是否支持某政党（提及政党x）。