The promise and perils of big gender data

Big Data may revolutionize social science—and also amplify our deepest cultural biases.

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  1. 1.

    Buvinic, M., Furst-Nichols, R. & Koolwal, G. Mapping Gender Data Gaps (Data2x, 2014).

  2. 2.

    Global Health Data Exchange (Institute for Health Metrics and Evaluation (IHME), accessed 21 November 2019);

  3. 3.

    Wesolowski, A. et al. Science 338, 267–270 (2012).

  4. 4.

    De Choudhury, M., Sharma, S.S., Logar, T., Eekhout, W. & Nielsen, R.C. Gender and cross-cultural differences in social media disclosures of mental illness. In Proc. 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing 353–369 (ACM Press, 2017);

  5. 5.

    Bosco, C. et al. J. R. Soc. Interface 14, 20160825 (2017).

  6. 6.

    Vaitla, B. et al. Big Data, Big Impact? Towards Gender-Sensitive Data Systems (Data2x, 2019).

  7. 7.

    Verhulst, S., Young, A., Winowatan, M. & Zahuranec, A.J. Leveraging Private Data For Public Good (GovLab, 2019);

  8. 8.

    D’Ignazio, C. & Klein, L. Data Feminism (MIT Press, 2019).

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Correspondence to Emily Courey Pryor.

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The authors declare no competing interests.

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Vaitla, B., Verhulst, S., Bengtsson, L. et al. The promise and perils of big gender data. Nat Med 26, 17–18 (2020).

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