Gender Equality Tech Tool

The Gender Equality Tech Tool (GETT) involves the collection, analysis, and visualization of data on the visibility of women, including female scientists. The data analysis draws on texts from public reporting by universities, research institutions, as well as traditional and digital media (e.g., news articles, announcements, interviews, reader comments, and discussions). This data is regularly and automatically collected via APIs or provided directly by German media houses collaborating within the framework of this project. The present analysis incorporates data from five major media houses.

For the stereotype analysis, descriptive and occupational texts referring to a person in an article are examined using natural language processing (NLP) methods and semantic similarity analyses. The analysis is currently in the pilot phase. A detailed description of the methods used can be found on GitHub.