Gonen and Goldberg (2019) contest the approaches to debiasing word embeddings presented by<cite> Bolukbasi et al. (2016b)</cite> and Zhao et al. (2018) , arguing that while the bias is reduced when measured according to its definition, i.e., dampening the impact of the general gender direction in the vector space, "the actual effect is mostly hiding the bias, not removing it".