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Analyzing gender inequality through large-scale Facebook advertising data.
Garcia, David; Mitike Kassa, Yonas; Cuevas, Angel; Cebrian, Manuel; Moro, Esteban; Rahwan, Iyad; Cuevas, Ruben.
Afiliação
  • Garcia D; Complexity Science Hub Vienna, 1080 Vienna, Austria.
  • Mitike Kassa Y; Section for Science of Complex Systems, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, 1090 Vienna, Austria.
  • Cuevas A; IMDEA Networks Institute, 28918 Leganés, Spain.
  • Cebrian M; Department of Telematic Engineering, Universidad Carlos III de Madrid, 28911 Leganés, Spain.
  • Moro E; Department of Telematic Engineering, Universidad Carlos III de Madrid, 28911 Leganés, Spain.
  • Rahwan I; Data61, Commonwealth Scientific and Industrial Research Organisation, 3008 Melbourne, Australia.
  • Cuevas R; The Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139.
Proc Natl Acad Sci U S A ; 115(27): 6958-6963, 2018 07 03.
Article em En | MEDLINE | ID: mdl-29921703
Online 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mídias Sociais / Sexismo / Relações Interpessoais / Modelos Teóricos Limite: Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mídias Sociais / Sexismo / Relações Interpessoais / Modelos Teóricos Limite: Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article