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• W2891161640 abstract "People use online platforms to seek out support for their informational and emotional needs. Here, we ask what effect does revealing one’s gender have on receiving support. To answer this, we create (i) a new dataset and method for identifying supportive replies and (ii) new methods for inferring gender from text and name. We apply these methods to create a new massive corpus of 102M online interactions with gender-labeled users, each rated by degree of supportiveness. Our analysis shows wide-spread and consistent disparity in support: identifying as a woman is associated with higher rates of support - but also higher rates of disparagement." @default.
• W2891161640 created "2018-09-27" @default.
• W2891161640 creator A5033462059 @default.
• W2891161640 creator A5046126345 @default.
• W2891161640 date "2018-01-01" @default.
• W2891161640 modified "2023-10-16" @default.
• W2891161640 title "It’s going to be okay: Measuring Access to Support in Online Communities" @default.
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• W2891161640 doi "https://doi.org/10.18653/v1/d18-1004" @default.
• W2891161640 hasPublicationYear "2018" @default.
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