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.
Introduction
- 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 https://kumu.io/ or any other format
- Present and explain it to others
Task at home:
- Research and suggest a review method for the literature
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. https://doi.org/10.1177%2F2053951717700924.
- 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). https://doi.org/10.1057/s41599-020-0495-3.
- 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 http://firstmonday.org/ojs/index.php/fm/article/view/3171/3049
- 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:
Topic
Topic(s):
Digitalisation
Subject Area(s):
Post digital
Level(s):
Early M.A.
Late B.A.
Late M.A.
Author(s):
