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Found 3 papers, 1 papers with code
Avoiding bias when inferring race using name-based approaches
The goal of this article is to assess the extent to which algorithmic bias is introduced using different approaches for name based racial inference.
Gender bias in magazines oriented to men and women: a computational approach
Besides, we show that in 2012, the content associated with horoscope increased in the women-oriented magazine, generating a new gap that remained open over time.
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
Our results show that using NLP we can encode a semantic space of articles, while with GNN we are able to build a relational space where the social practices of a research community are also encoded.
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