Published March 28, 2022
| Version v2
Dataset
Open
Performance of different augmented writing tools on german job ads
Creators
- 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.