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dc.contributor.authorGarcia, David
dc.contributor.authorMitike Kassa, Yonas
dc.contributor.authorCuevas, Angel
dc.contributor.authorCuevas, Ruben
dc.contributor.authorCebrian, Manuel
dc.contributor.authorMoro Egido, Esteban
dc.contributor.authorRahwan, Iyad
dc.date.accessioned2019-03-01T20:07:39Z
dc.date.available2019-03-01T20:07:39Z
dc.date.issued2018-07
dc.date.submitted2017-10
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/120700
dc.description.abstractOnline social media are information resources that can have a transformative power in society. While the Web was envisioned as an equalizing force that allows everyone to access information, the digital divide prevents large amounts of people from being present online. Online social media, in particular, are prone to gender inequality, an important issue given the link between social media use and employment. Understanding gender inequality in social media is a challenging task due to the necessity of data sources that can provide large-scale measurements across multiple countries. Here, we show how the Facebook Gender Divide (FGD), a metric based on aggregated statistics of more than 1.4 billion users in 217 countries, explains various aspects of worldwide gender inequality. Our analysis shows that the FGD encodes gender equality indices in education, health, and economic opportunity. We find gender differences in network externalities that suggest that using social media has an added value for women. Furthermore, we find that low values of the FGD are associated with increases in economic gender equality. Our results suggest that online social networks, while suffering evident gender imbalance, may lower the barriers that women have to access to informational resources and help to narrow the economic gender gap. Keywords: gender divide; Facebook; social media; inquality; developmenten_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/PNAS.1717781115en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePNASen_US
dc.titleAnalyzing gender inequality through large-scale Facebook advertising dataen_US
dc.typeArticleen_US
dc.identifier.citationGarcia, David et al. “Analyzing Gender Inequality through Large-Scale Facebook Advertising Data.” Proceedings of the National Academy of Sciences 115, 27 (June 2018): 6958–6963 © 2018 National Academy of Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.mitauthorCebrian, Manuel
dc.contributor.mitauthorMoro Egido, Esteban
dc.contributor.mitauthorRahwan, Iyad
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-02-08T18:20:11Z
dspace.orderedauthorsGarcia, David; Mitike Kassa, Yonas; Cuevas, Angel; Cebrian, Manuel; Moro, Esteban; Rahwan, Iyad; Cuevas, Rubenen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2894-1024
mit.licensePUBLISHER_POLICYen_US


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