Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • COMMENT

Humans and algorithms work together — so study them together

The Twitter logo is seen on a handheld mobile device with the YouTube logo displayed on a screen in the background.

YouTube and Twitter both use adaptive algorithms that recommend videos or suggest accounts to follow. Credit: NurPhoto via Getty

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Prices may be subject to local taxes which are calculated during checkout

Nature 617, 248-251 (2023)

doi: https://doi.org/10.1038/d41586-023-01521-z

References

  1. Yesilada, M. & Lewandowsky, S. Internet Pol. Rev. 11, 1652 (2022).

    Article  Google Scholar 

  2. Matias, N. & Wright, L. Just Tech https://doi.org/10.35650/JT.3028.d.2022 (2022).

    Article  Google Scholar 

  3. Rajkumar, K., Saint-Jacques, G., Bojinov, I., Brynjolfsson, E. & Aral, S. Science 377, 1304–1310 (2022).

    Article  PubMed  Google Scholar 

  4. Sutton, R. S. & Barto, A. G. Reinforcement Learning: an Introduction 2nd edn (MIT Press, 2018).

    Google Scholar 

  5. Fernandez, A. M. Here to Stay and Growing: Combating ISIS Propaganda Networks (Brookings Institution, 2015).

    Google Scholar 

  6. Murthy, D. Am. Behav. Sci. 65, 800–824 (2021).

    Article  Google Scholar 

  7. Bak-Coleman, J. B. et al. Proc. Natl Acad. Sci. USA 118, e2025764118 (2021).

    Article  PubMed  Google Scholar 

  8. Whittaker, M. Interactions 28, 50–55 (2021).

    Article  Google Scholar 

  9. Gillespie, T. Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions that Shape Social Media (Yale Univ. Press, 2018).

    Google Scholar 

  10. Ekstrand, M. D., Das, A., Burke, R. & Diaz, F. Found. Trends Inf. Retrieval 16, 1–177 (2022).

    Article  Google Scholar 

  11. Brady, W. J., McLoughlin, K., Doan, T. N. & Crockett, M. J. Sci. Adv. 7, eabe5641 (2021).

    Article  PubMed  Google Scholar 

  12. McCrosky, J. & Geurkink, B. YouTube Regrets (Mozilla Foundation, 2021).

    Google Scholar 

  13. Stavinova, E. et al. Preprint at https://arxiv.org/abs/2206.11338 (2022).

  14. Matias, J. N. Proc. Natl Acad. Sci. USA 116, 9785–9789 (2019).

    Article  PubMed  Google Scholar 

  15. Ricks, B. & McCrosky, J. Does This Button Work? Investigating YouTube’s Ineffective User Controls (Mozilla Foundation, 2022).

    Google Scholar 

  16. Urman, A., Makhortykh, M. & Ulloa, R. Hum. Soc. Sci. Commun. 9, 130 (2022).

    Article  Google Scholar 

  17. Caplan, R. & Boyd, D. Big Data Soc. 5, 2053951718757253 (2018).

    Article  Google Scholar 

Download references

Competing Interests

J.N.M. is an unpaid adviser to the National Internet Observatory, which is a research project at Northeastern University, and an unpaid member of the executive committee of the Coalition for Independent Technology Research, which coordinates support for researchers who carry out industry-independent research on technology and society.

Subjects

Latest on:

Nature Careers

Jobs

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing

Search

Quick links