Suggested Readings
The following papers have been identified by the DCT Pathway team as being useful to get you thinking about some of the questions that this thematic pathway poses. All should be readily available through your home Universities journal subscriptions.
Cheney-Lippold, J. (2018). We Are Data: Algorithms and the Making of our digital selves. New York, New York University Press.
Eubanks, V. (2017). Automating Inequality: How High-Tech Tools Profile, POlice and Punish the Poor. New York, St. Martin’s Press
Sumpter, D. (2018). Outnumbered. London, Bloomsbury.
Finn, E. (2017). What algorithms want: Imagination in the age of computing, MIT Press.
Thornham, H. (2018). Gender and Digital Culture: Between Irreconcilability and the Datalogical. London, Routledge.
Lee, M. K. (2018). “Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management.” Big Data & Society 5(1): 2053951718756684.
Gehl, R. B., M ed. (2017). SocialBots and their Friends: Digital Medi anad the Automation of Sociability. London, Routledge.
Kitchin, R. M., S. McArdle, G (2016). “The Praxis and Politics of Building Urban Dashboards.” Geoforum 77: 93-101.
Doing qualitative research on inequalities during Covid
Website with a number of links to helpful resources on conducting qualitative research during the current pandemic
