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- Title
Hidden Gender Bias in Big Data as Revealed by Neural Networks: Man is to Woman as Work is to Mother?
- Authors
Díaz Martínez, Capitolina; Díaz García, Pablo; Navarro Sustaeta, Pablo
- Abstract
Social events become big data. The analysis of big data becomes knowledge about society. If the big data is biased, this bias is transmitted to the analysis and to our knowledge. We propose a tool to discover gender biases and, potentially eliminate them from big data prior to analysis. We use neural network analysis via word embedding. This is the first time that this technique has been tested on a Spanish data body. As proof of concept, the neural network was fed with half of the Wikipedia in Spanish. More than 28 million words. We describe the techniques and specialized knowledge necessary to discern gender bias and examined whether it is possible to divide the analysis work into externalizable microtasks.
- Subjects
SOCIAL conditions of women; SEX discrimination; SOCIAL conditions of men; BIG data; ARTIFICIAL neural networks
- Publication
Revista Española de Investigaciones Sociológicas, 2020, Issue 172, p41
- ISSN
0210-5233
- Publication type
Article
- DOI
10.5477/cis/reis.172.41