Gender and visibility in algorithmically mediated entrepreneurship · Katie Apker, Cornell ILR
Women’s YouTube channels receive about 20 percent fewer views than men’s channels of the same age, video count, and content category. More positive comment tone correlates with fewer views, while more profanity correlates with more views, both across creators and within their own videos. Women’s channels receive more positive comments and about 55 percent less profanity, a pattern consistent with benevolent sexism. A Gelbach decomposition of the 20 percent gap at the same channel age, video count, and content category shows that comment tone accounts for 88.0 percent and profanity for 6.7 percent of the visibility gap, together 94.7 percent. The association between comment tone and views is the same for men’s and women’s videos within creators.
Women’s channels receive about 20 percent fewer views than men’s when comparing channels of the same age, video count, and content category (9,096 channels). The Gelbach decomposition shows that 94.7 percent of this gap is associated with comment reception, mainly comment tone (88.0 percent) and profanity (6.7 percent), while creator content’s share of the 20 percent gap is minus 7.3 percent, meaning holding content equal widens the gap; other factors have no distinguishable shares.
Share of the 20% gap (same channel age, video count, and content category), percent. n.s. = not statistically distinguishable from zero.
Each share represents the portion of the 20 percent gap accounted for by a factor when all factors are held equal together. Shares are an accounting of the change in the creator-gender coefficient between the model with creator gender, channel age, video count, and content category and the model that adds every block at once. Shares do not indicate causal effects. Negative shares mean holding that factor equal widens the gap. The order of factors does not affect shares.
In the raw 34 percent gap without controls, channel age and video count account for 56.4 percent of the gap, while content category’s share is minus 12.5 percent, meaning holding category equal widens the gap.
The 20 percent visibility gap and its association with comment tone and profanity hold under robustness checks including content-category clustered standard errors and wild cluster bootstrap, trimming extreme views, restricting to channels active at least twelve months, varying minimum comment floors from 20 to 500 per channel, weighting by comment count, holding like rate equal, and quantile regressions at the 25th, 50th, and 75th percentiles of views.
Women’s channels receive more positive comments and less profanity, with commenters of both genders writing about 10 tone points more positively on women’s channels. At the same channel age, video count, comment volume, and content category, a one standard deviation increase in positive comment tone associates with about 35 percent fewer views, while a similar increase in profanity associates with about 5 percent more views. Within individual creators’ own videos, more positive comment tone is also associated with fewer views, and that association is the same on women’s and men’s videos. These associations form a negative arousal bonus. The suggested explanation, consistent with the data and prior research, is that recommendation systems and resharing audiences amplify visibility based on these engagement signals.

This study asks how audience evaluation relates to entrepreneurial visibility on YouTube and whether these dynamics differ by gender. The analysis uses the 9,096 channels with comment data among creators drawn at random from the Infludata frame of U.S. individual creators with at least 2,000 subscribers. Creator gender was hand-coded, and the dataset includes over 5.7 million audience comments. I find that women’s channels receive about 20 percent fewer views than men’s when controlling for channel age, video count, and content category. More positive comment tone correlates with fewer views, and more profanity correlates with more views, both across and within creators’ videos. Women’s channels receive more positive comments and substantially less profanity, consistent with benevolent sexism. A Gelbach decomposition attributes 88.0 percent of the 20 percent gap to comment tone and 6.7 percent to profanity, together accounting for 94.7 percent, with women’s own content positivity widening the gap rather than reducing it.
The finding rests on three established literatures: how gender shapes evaluation in entrepreneurship, how intense reactions spread online, and how favorable-seeming treatment can still be biased.
Full references are in the manuscript.
Women’s channels receive about 20 percent fewer views than men’s when comparing channels of the same age, video count, and content category. In a Gelbach decomposition of the 20 percent gap, comment tone and profanity together account for 94.7 percent. Women’s channels receive more positive and less profane comments from commenters of both genders, and engagement per view is about 25 percent higher on women’s channels. Subscriber counts are not distinguishable from men’s when controlling for channel age and video count. At the same channel age, video count, comment volume, and content category, a one standard deviation increase in positive comment tone associates with about 35 percent fewer views, while increased profanity associates with about 5 percent more views. These patterns align with prior findings that recommendation systems and audiences favor negative, high-arousal reactions. Women’s own content is more positive than men’s and does not account for the visibility gap. The manuscript is available on request.
