Analyzing gender inequality through large-scale Facebook advertising data

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2018
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Mitike Kassa, Yonas
Cuevas, Angel
Cebrian, Manuel
Moro, Esteban
Rahwan, Iyad
Cuevas, Ruben
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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 informational resources and help to narrow the economic gender gap.

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ISO 690GARCIA, David, Yonas MITIKE KASSA, Angel CUEVAS, Manuel CEBRIAN, Esteban MORO, Iyad RAHWAN, Ruben CUEVAS, 2018. Analyzing gender inequality through large-scale Facebook advertising data. In: Proceedings of the National Academy of Sciences of the United States of America (PNAS). National Academy of Sciences. 2018, 115(27), pp. 6958-6963. ISSN 0027-8424. eISSN 1091-6490. Available under: doi: 10.1073/pnas.1717781115
BibTex
@article{Garcia2018Analy-59899,
  year={2018},
  doi={10.1073/pnas.1717781115},
  title={Analyzing gender inequality through large-scale Facebook advertising data},
  number={27},
  volume={115},
  issn={0027-8424},
  journal={Proceedings of the National Academy of Sciences of the United States of America (PNAS)},
  pages={6958--6963},
  author={Garcia, David and Mitike Kassa, Yonas and Cuevas, Angel and Cebrian, Manuel and Moro, Esteban and Rahwan, Iyad and Cuevas, Ruben}
}
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