Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/8978
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dc.contributor.authorMejova, Y.
dc.contributor.authorGandhi, H.R.
dc.contributor.authorRafaliya, T.J.
dc.contributor.authorSitapara, M.R.
dc.contributor.authorKashyap, R.
dc.contributor.authorWeber, I.
dc.date.accessioned2020-03-30T10:23:11Z-
dc.date.available2020-03-30T10:23:11Z-
dc.date.issued2018
dc.identifier.citationProceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2018, 2018, Vol., , pp.-en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8978-
dc.description.abstractImproving 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).en_US
dc.titleMeasuring subnational digital gender inequality in India through gender gaps in Facebook useen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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