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Catherine D'Ignazio: Data Feminism (Hardcover, 2020, MIT Press) 4 stars

A new way of thinking about data science and data ethics that is informed by …

In the workplace, we might also consider the affective labor required by women and minoritized groups, in all situations, who must take steps to disprove (or simply ignore) the sexist, racist, or otherist assumptions they face—about their technical ability or about anything else. And they must do so while also performing the emotional labor that ensures that they do not threaten those who hold those assumptions, who often also hold positions of power over them.

Data Feminism by  (Page 193)

Oh, I feel that so much! Especially the second part. Like, telling someone that he is sexist while also solacing him so he won't be angy at you...