Data footprints (English)

These modules introduce the topic of the digital footprint. The students are then asked to create their own footprint in an exercise and present it to the others.


  • Digital idiolect mapping using White and Le Cornu. Mapping the visible and invisible. The concept of mundane data (Pink).
  • Classify where most of their digital activity was located regarding DQ competencies.
  • Consider the intricacies of data generation. Algorithms can you spot any? Examples?

Task in-class:

  • Create a data map on or any other format
  • Present and explain it   to others

Task at home:

  • Research and suggest a review method for the literature


  • Pink, S., Sumartojo, S., Lupton, D., & Heyes La Bond, C. (2017). Mundane data: The routines, contingencies and accomplishments of digital living. Big Data & Society.
  • Rettberg, J. W. (2020). Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps. Humanities and Social Sciences Communications, 7(5).
  • White , D. S. and Le Cornu, A. (2011) ​​Visitors and Residents: A new typology for online engagement. First Monday, Volume 16, Number 9 – 5 September 2011 ​​
  • Zuboff, S. (2019). ‘We Make Them Dance’: Surveillance Capitalism, the Rise of Instrumentarian Power, and the Threat to Human Rights. In R. F. Jørgensen, R.F., Human rights in the age of platforms (pp. 3-53). Cambridge, MA and London, UK: MIT Press.

Module class:


Subject Area(s):
Post digital

Early M.A. Late B.A. Late M.A.


Used resources