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Computational social science

Disentangling truth from bias in naturally occurring data

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A technique that leverages duplicate records in crowdsourcing data could help to mitigate the effects of biases in research and services that are dependent on government records.

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Fig. 1: The source of bias in naturally occurring data — and a potential solution.

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Authors and Affiliations

  1. School of Public Policy and Urban Affairs, Northeastern University, Boston, MA, USA

    Daniel T. O’Brien

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  1. Daniel T. O’Brien
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Correspondence to Daniel T. O’Brien.

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O’Brien, D.T. Disentangling truth from bias in naturally occurring data. Nat Comput Sci 4, 5–6 (2024). https://doi.org/10.1038/s43588-023-00587-z

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