(a), left, depicts an example of the names extracted from quoted speakers in news articles and authors in papers. (a), right, highlighted the data types and processes used to analyze the predicted gender of extracted names. (b) shows an overview of the number of quotes extracted for each article type. (c) depicts three trend lines: purple: proportion of quotes for a speaker estimated to be a man; light blue: proportion of first author papers estimated to be a man; dark blue: proportion of last authors predicted to be a man. We observe that the proportion of quotes estimated to come from a man is steadily decreasing, most notably from 2017 onward. This decreasing trend is not due to a change in quotes from the first or last author, as observed in (d). (d) shows a consistent but slight bias toward quoting the last author of a cited article than the first author over time. (e) depicts the frequency of quote by article type highlighting an increase in quotes from ‘Career Feature’ articles. (e) depicts that the quotes obtained in this article type have reached parity. The colored bands represent a 5th and 95th bootstrap quantiles in all plots, and the point is the mean calculated from 1000 bootstrap samples.