Publication Cover
The Information Society
An International Journal
Volume 39, 2023 - Issue 4
387
Views
1
CrossRef citations to date
0
Altmetric
ARTICLE

Data by design: Shaping data-producing subjectivities through self-tracking

ORCID Icon & ORCID Icon
Pages 213-224 | Received 03 Jun 2020, Accepted 12 Apr 2023, Published online: 02 May 2023

References

  • Alcalá, J. C., S. L. Star, and G. C. Bowker. 2016. Infrastructures for remembering. In Boundary objects and beyond: Working with Leigh Star, eds. G. C. Bowker, S. Timmermans, A. E. Clarke, and E. Balka, 323–38. Cambridge, MA: MIT Press.
  • Andrejevic, M. 2020. Automated media. New York: Routledge.
  • Beer, D. 2019. The data gaze: Capitalism, power and perception. London: SAGE.
  • Blum-Ross, A., and S. Livingstone. 2018. The trouble with “screen time” rules. In Digital parenting: The challenges for families in the digital age, eds. G. Mascheroni, C. Ponte, and A. Jorge, 179–87. Gothenburg, Sweden: The International Clearinghouse on Children, Youth and Media, University of Gothenburg.
  • boyd, d. 2014. It’s complicated: The social lives of networked teens. New Haven, CT: Yale University Press.
  • Chua, Y. H. V., J. Dauwels, and S. C. Tan. 2019. Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now? In LAK 19: Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 11–20. New York: ACM.
  • Daston, L., and P. Galison. 1992. The image of objectivity. Representations 40:81–128. doi: 10.2307/2928741.
  • Daston, L., and P. Galison. 2010. Objectivity. Brooklyn, NY: Zone Books.
  • Depper, A., and P. D. Howe. 2017. Are we fit yet? English adolescent girls’ experiences of health and fitness apps. Health Sociology Review 26 (1):98–112. doi: 10.1080/14461242.2016.1196599.
  • Didžiokaitė, G., P. Saukko, and C. Greiffenhagen. 2018. The mundane experience of everyday calorie trackers: Beyond the metaphor of Quantified Self. New Media & Society 20 (4):1470–87. doi: 10.1177/1461444817698478.
  • Erstad, O. 2012. The learning lives of digital youth: Beyond the formal and informal. Oxford Review of Education 38 (1):25–43. doi: 10.1080/03054985.2011.577940.
  • Fiore-Gartland, B., and G. Neff. 2015. Communication, mediation, and the expectations of data: Data valences across health and wellness communities. International Journal of Communication 9:1466–84.
  • Fotopoulou, A., and K. O’Riordan. 2017. Training to self-care: Fitness tracking, biopedagogy and the healthy consumer. Health Sociology Review 26 (1):54–68. doi: 10.1080/14461242.2016.1184582.
  • Foucault, M. 1988. Technologies of the self: A seminar with Michel Foucault, eds. L. H. Martin, H. Gutman, and P. H. Hutton. London: Tavistock.
  • Gilmore, L. A., A. F. Duhé, E. A. Frost, and L. M. Redman. 2014. The technology boom: A new era in obesity management. Journal of Diabetes Science and Technology 8 (3):596–608. doi: 10.1177/1932296814525189.
  • Gómez-del-Río, N., C. S. González-González, P. A. Toledo-Delgado, V. Muñoz-Cruz, and F. García-Peñalvo. 2020. Health promotion for childhood obesity: An approach based on self-tracking of data. Sensors 20 (13):3778. doi: 10.3390/s20133778.
  • Gorm, N., and I. Shklovski. 2019. Episodic use: Practices of care in self-tracking. New Media & Society 21 (11–12):2505–21. doi: 10.1177/1461444819851239.
  • Heo, J., H. Lim, S. B. Yun, S. Ju, S. Park, and R. Lee. 2019. Descriptive and predictive modeling of student achievement, satisfaction, and mental health for data-driven smart connected campus life service. In LAK19: Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 531–538. New York: ACM. doi: 10.1145/3303772.3303792.
  • Ito, M. 2010. Hanging out, messing around, and geeking out: Kids living and learning with new media. Cambridge, MA: MIT Press.
  • Kong, R., X. Hu, and A. H. K. Yuen. 2020. Understanding academic engagement and context through multimodal data. In Proceedings of the 53rd Hawaii International Conference on System Sciences, 3357–65. Honolulu, HI: University of Hawaii.
  • Latour, B., and S. Woolgar. 1986. Laboratory life: The construction of scientific facts. Princeton, NC: Princeton University Press.
  • Lee, V. R. 2019. On researching activity tracking to support learning: A retrospective. Information and Learning Sciences 120 (1/2):133–54. doi: 10.1108/ILS-06-2018-0048.
  • Lessig, L. 2006. Code: Version 2.0. New York: Basic Books.
  • Lomborg, S., and K. Frandsen. 2016. Self-tracking as communication. Information, Communication & Society 19 (7):1015–27. doi: 10.1080/1369118X.2015.1067710.
  • Lupton, D. 2016. The quantified self. Malden, MA: Polity.
  • Manolev, J., A. Sullivan, and R. Slee. 2019. The datafication of discipline: ClassDojo, surveillance and a performative classroom culture. Learning, Media and Technology 44 (1):36–51. doi: 10.1080/17439884.2018.1558237.
  • Nafus, D., and J. Sherman. 2014. This one does not go up to 11: The quantified self movement as an alternative big data practice. International Journal of Communication 8:1784–94.
  • Naslund, J. A., K. A. Aschbrenner, L. K. Barre, and S. J. Bartels. 2015. Feasibility of popular m-health technologies for activity tracking among individuals with serious mental illness. Telemedicine and e-Health 21 (3):213–6. doi: 10.1089/tmj.2014.0105.
  • Pantzar, M., and M. Ruckenstein. 2017. Living the metrics: Self-tracking and situated objectivity. Digital Health 3:1–10.
  • Pink, S., M. Ruckenstein, R. Willim, and M. Duque. 2018. Broken data: Conceptualising data in an emerging world. Big Data & Society 5 (1):205395171775322. doi: 10.1177/2053951717753228.
  • Ráthonyi, G., V. Takács, R. Szilágyi, É. Bácsné Bába, A. Müller, Z. Bács, M. Harangi-Rákos, L. Balogh, and K. Ráthonyi-Odor. 2021. Your physical activity is in your hand: Objective activity tracking among university students in Hungary, one of the most obese countries in Europe. Frontiers in Public Health 9:1–9. doi: 10.3389/fpubh.2021.661471.
  • Rooksby, J., M. Rost, A. Morrison, and M. C. Chalmers. 2014. Personal tracking as lived informatics. In CHI ‘14: Proceedings of the 32nd annual ACM conference on Human factors in Computing Systems, 1163–1172. New York: ACM. doi: 10.1145/2556288.2557039.
  • Schüll, N. D. 2016. Data for life: Wearable technology and the design of self-care. BioSocieties 11 (3):317–33. doi: 10.1057/biosoc.2015.47.
  • Sharon, T., and D. Zandbergen. 2017. From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media & Society 19 (11):1695–709. doi: 10.1177/1461444816636090.
  • Williamson, B. 2017. Decoding ClassDojo: Psycho-policy, social-emotional learning and persuasive educational technologies. Learning, Media and Technology 42 (4):440–53. doi: 10.1080/17439884.2017.1278020.
  • Wolf, G. 2010. The data-driven life. The New York Times Magazine, May 2, MM38.
  • Yli-Kauhaluoma, S., and M. Pantzar. 2018. Seeking connectivity to everyday health and wellness experiences: Specificities and consequences of connective gaps in self-tracking data. Digital Health 4:1–12.
  • Zhou, Z. X., V. Tam, K. S. Lui, E. Y. Lam, X. Hu, A. Yuen, and N. Law. 2020. A sophisticated platform for learning analytics with wearable devices. In Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 300–4. New York: IEEE.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.