Published March 28, 2022 | Version v2
Dataset Open

Performance of different augmented writing tools on german job ads

  • 1. Department of Computer Science, Communication and Business, Hochschule fur Technik und Wirtschaft Berlin (HTW), Germany; Einstein Center Digital Future (ECDF), Berlin, Germany
  • 2. Department of Computer Science, Communication and Business, Hochschule fur Technik und Wirtschaft Berlin (HTW), Germany

Description

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.

Files

Lead_keywords.txt

Files (120.5 MB)

Name Size Download all
md5:a735039ce625797f13855ac9850362f2
846 Bytes Preview Download
md5:d6b1dd429198d4383b388b5307a560c8
7.7 kB Download
md5:51321e3860e884e96967f5bc67773172
62.4 MB Preview Download
md5:62f19b0fd53048a2667b23049cd9f4af
58.1 MB Preview Download