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Title: | Measuring subnational digital gender inequality in India through gender gaps in Facebook use |
Authors: | Mejova, Y. Gandhi, H.R. Rafaliya, T.J. Sitapara, M.R. Kashyap, R. Weber, I. |
Issue Date: | 2018 |
Citation: | Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2018, 2018, Vol., , pp.- |
Abstract: | Improving digital literacy and reducing gender inequalities in internet access and use have been recognized as important development targets within the United Nations� Sustainable Development Goals (SDGs). Tracking progress on digital gender inequalities however is challenging due to limited gender-disaggregated data, especially in less developed country contexts and at the subnational level. We show how data obtained from social media advertising APIs can be used to generate a real-time measure of digital gender inequality. Using data from the Facebook (FB) Marketing API, we document gender gaps in FB use across Indian states and examine to what extent state-level development indicators help predict these gender gaps. Higher GDP per capita, literacy and internet penetration are associated with lower gender gaps in FB presence. These state-level development predictors however are only able to explain a small proportion (7.3%) of the overall variation in gender gaps on FB. Employment-related occupational or industry characteristics from within FB emerge as important variables associated with more gender-balanced FB use. � 2018 Copyright held by the owner/author(s). |
URI: | http://idr.nitk.ac.in/jspui/handle/123456789/8978 |
Appears in Collections: | 2. Conference Papers |
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