Performance of different augmented writing tools on german job ads

This dataset was created as part of an empirical analysis of four German-language augmented writing technologies for detecting gender exclusion. For this purpose, approximately 160,000 job postings from three different platforms were collected and evaluated using the technologies. The dataset primarily contains the number of expressions extracted per job posting, as well as the gender scores and categories calculated by the technologies. Together with variable descriptions and the list of keywords used to sample the leading positions, this dataset serves as additional information for a manuscript under review.

本数据集是为开展四项德语增强写作技术检测性别排斥现象的实证分析而构建。为此，研究人员从三个不同平台收集了约16万条招聘启事，并通过上述技术完成评估。数据集核心内容包含每条招聘启事提取得到的表达数量，以及各技术计算得到的性别得分与分类结果。本数据集连同变量说明、用于采样头部职位的关键词列表，将作为待审手稿的补充信息材料。