Update content/02.introduction.md

Co-authored-by: Casey Greene <[email protected]>

content/02.introduction.md

@@ -19,7 +19,7 @@ This is similar to other studies that have quantified gender or racial dispariti
 In researching a story, a journalist will typically interview multiple sources for their opinion, potentially asking for additional sources, thus allowing individual unconscious biases at any point along the interview chain to skew scientific coverage broadly.
 In addition, the repeated selection of a small set of field experts or the approach a journalist takes in establishing a new source may intensify existing biases [@https://www.theopennotebook.com/2016/08/23/including-diverse-voices-in-science-stories; @https://www.theatlantic.com/technology/archive/2016/02/gender-diversity-journalism/463023; @https://www.theatlantic.com/science/archive/2018/02/i-spent-two-years-trying-to-fix-the-gender-imbalance-in-my-stories/552404].
 While disparities in representation may go unnoticed in a single article, analyzing a large corpus of articles can identify and quantify these disparities and help guide institutional and individual self-reflection.
-In the same vein as previous media studies [@doi:10.1177/0003122415596999; @doi:10.1080/1461670X.2013.834149; @doi:10.1177/0163443711418272; @doi:10.1371/journal.pone.0148434; @https://www.poynter.org/reporting-editing/2013/lack-of-female-sources-in-new-york-times-stories-spotlights-need-for-change; @https://whomakesthenews.org/gmmp-2015-reports], we sought to quantify differences in representation across percieved identities of gender and ethnicity beyond the existing demographic differences in the scientific field.
+In the same vein as previous media studies [@doi:10.1177/0003122415596999; @doi:10.1080/1461670X.2013.834149; @doi:10.1177/0163443711418272; @doi:10.1371/journal.pone.0148434; @https://www.poynter.org/reporting-editing/2013/lack-of-female-sources-in-new-york-times-stories-spotlights-need-for-change; @https://whomakesthenews.org/gmmp-2015-reports], we sought to quantify differences in representation across predicted of gender and name origin beyond the existing demographic differences in the scientific field.
 Our study focused solely on science journalism, specifically content published by _Nature_.
 Since _Nature_ also publishes primary research articles, we used these data to determine the demographics of the expected set of possible sources.
 This is not a perfect comparator since journalists will not cover every research article presented in the journal.