Programma d’esame:

Esame scritto sulla base dei seguenti 3 testi obbligatori:

1) Lupton, D. (2018) Sociologia Digitale, Bologna, Pearson.
2) Caliandro A., Gandini A., (2018) I metodi digitali nella ricerca sociale, Roma, Carocci.
3) Foucault, M. (1975) Tecnologie del sé, Torino, Einaudi (solo il saggio di Foucault, esclusi i saggi complementari)

+ 3 articoli a scelta tra i seguenti 8 (disponibili per il download nella piattaforma di e-learning):

- Boyd D., Crawford K. (2012) Critical questions for Big Data, Information, Communication & Society, 15(5), 662-679.
- Tufekci, Z. (2014). Engineering the public: Big data, surveillance and computational politics, First Monday, 19(7).
- Tandoc Jr, E. C. (2014). Journalism is twerking? How web analytics is changing the process of gatekeeping. New Media & Society, 16(4), 559-575.
- Petre, C. (2015). The traffic factories: Metrics at chartbeat, gawker media, and the New York Times. Tow Center for Digital Journalism.
- Morris, J. W. (2015). Curation by code: Infomediaries and the data mining of taste. European Journal of Cultural Studies, 18(4-5), 446-463.
- Prey R. (2017). Nothing personal. Algorithmic individuation on music streaming platforms. Media, Culture & Society, https://doi.org/10.1177/0163443717745147.
- Milan, S. (2016). Data activism as the new frontier of media activism, in Media Activism, a cura di Goubin Yang and Viktor Pickard, Shaping Inquiry in Culture, Communication and Media Studies Series, series editor Barbie Zelizer, Routledge (2016)
- Carbonell, I. (2016). The ethics of big data in big agriculture. Internet Policy Review, 5(1).

+ valutazione dell’esercitazione (consegnata via email TASSATIVAMENTE 7 giorni prima dell’appello)

ESERCITAZIONE

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