Work

Performance of different augmented writing tools on german job ads

Year: 2021

Type: dataset

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.5720706

Authors: Mihaljević, Helena, Müller, Ivana

Institutions: HTW Berlin - University of Applied Sciences, Einstein Center Digital Future

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Reduced inequalities, Gender equality

Open Access status: green

OpenAlex ID: W4393619082

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