Sign of toxic setting for women
A pathbreaking new study of online conversations among economists describes and quantifies a workplace culture that appears to amount to outright hostility toward women in parts of the economics profession.
Alice Wu, who will start her doctoral studies at Harvard next year, completed the research in an award-winning senior thesis at UC Berkeley. Her paper has been making the rounds among leading economists this summer and prompting urgent conversations.
David Card, an eminent economist at Berkeley who was Wu’s thesis adviser, said she had produced “a very disturbing report.”
The underrepresentation of women in top university economics departments is well documented, but it has been difficult to evaluate claims about workplace culture because objectionable conversations rarely occur in the open. Whispered asides at the water cooler are hard to observe, much less measure.
But the intersection of two technological shifts has opened up new avenues for research. First, many “water cooler” conversations have migrated online, leaving behind a computerized archive. In addition, machine-learning techniques have been adapted to explore patterns in large bodies of text, and as a result, it’s now possible to quantify the tenor of that kind of gossip.
This is what Wu did in her paper, “Gender Stereotyping in Academia: Evidence From Economics Job Market Rumors Forum.”
Wu mined more than 1 million posts from an anonymous message board frequented by many economists. The site, Economics Job Market Rumors, began as a place for economists to exchange gossip about who is hiring and being hired in the profession. Over time, it evolved into a virtual water cooler frequented by economics faculty members, graduate students and others.
Wu set up her computer to identify whether the subject of each post is a man or a woman. The simplest version involves looking for references to “she,” “her,” “herself” or “he,” “him,” “his” or “himself.”
She then adapted machine-learning techniques to ferret out the terms most uniquely associated with posts about men and about women.
The 30 words most uniquely associated with discussions of women make for uncomfortable reading.
In order, that list is: hotter, lesbian, bb (Internet speak for “baby”), sexism, tits, anal, marrying, feminazi, slut, hot, vagina, boobs, pregnant, pregnancy, cute, marry, levy, gorgeous, horny, crush, beautiful, secretary, dump, shopping, date, nonprofit, intentions, sexy, dated and prostitute.
The parallel list of words associated with discussions about men reveals no similarly singular or hostile theme. It includes words that are relevant to economics, such as adviser, Austrian (a school of thought in economics) mathematician, pricing, textbook and Wharton (the University of Pennsylvania business school that is President Trump’s alma mater).
More of the words associated with discussions about men have a positive tone, including terms like goals, greatest and Nobel. And to the extent that there is a clearly gendered theme, it is a schoolyard battle for status: The list includes words like bully, burning and fought.
In her paper, Wu says the anonymity of these online posts “eliminates any social pressure participants may feel to edit their speech” and so perhaps allowed her “to capture what people believe but would not openly say.”
In order to more systematically evaluate the underlying themes of these discussions, Wu moved beyond analyzing specific words to exploring the broad topics under discussion.
This part of her analysis reveals that discussions about men are more likely to be confined to topics like economics itself and professional advice (with terms including career, interview or placement).
Discussions of women are much more likely to involve topics related to personal information (with words like family, married or relationship), physical attributes (words like beautiful, body or fat) or genderrelated terms (like gender, sexist or sexual).
In an email, David Romer, a leading macroeconomist at Berkeley, summarized the paper as depicting “a cesspool of misogyny.”
To be sure, the online forum Wu studied is unlikely to be representative of the entire economics profession, although even a vocal minority can be sufficient to create a hostile workplace for female economists.
Janet Currie, a leading empirical economist at Princeton (where Wu works as her research assistant), said the findings resonated because they’re “systematically quantifying something most female economists already know.” The analysis “speaks volumes about attitudes that persist in dark corners of the profession,” Currie said.