To address this, we applied the WEAT test on four sets of word embeddings trained on corpora from four domains: social media (Twit-ter), a Wikipedia-based gender-balanced corpus (GAP) and a biomedical corpus (PubMed) and news (Google News, in order to reproduce and validate our results against those of<cite> Caliskan et al. (2017)</cite> ) (see Section 3).