https://www.sciencedaily.com/releases/2022/04/220401141337.htm

The findings, which are reported in the journal Science Advances, are based on an analysis of more than 630 billion words drawn from internet web pages, using artificial intelligence tools to measure what words mean based on how they are used by millions of individuals.

"Many forms of bias, such as the tendency to associate 'science' with men more than women, have been studied in the past, but there has been much less work on how we view a 'person,' " says April Bailey, a postdoctoral researcher in New York University's Department of Psychology and the lead author of the paper.