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        <title>It’s going to be okay: Measuring Access to Support in Online Communities</title>
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            <namePart type="family">Riloff</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/D18-1004</identifier>
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%0 Conference Proceedings
%T It’s going to be okay: Measuring Access to Support in Online Communities
%A Wang, Zijian
%A Jurgens, David
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F wang-jurgens-2018-going
%X 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.
%R 10.18653/v1/D18-1004
%U https://aclanthology.org/D18-1004
%U https://doi.org/10.18653/v1/D18-1004
%P 33-45

Markdown (Informal)

[It’s going to be okay: Measuring Access to Support in Online Communities](https://aclanthology.org/D18-1004) (Wang & Jurgens, EMNLP 2018)

• It’s going to be okay: Measuring Access to Support in Online Communities (Wang & Jurgens, EMNLP 2018)

ACL

• Zijian Wang and David Jurgens. 2018. It’s going to be okay: Measuring Access to Support in Online Communities. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 33–45, Brussels, Belgium. Association for Computational Linguistics.