Media Technologies: Essays on Communication, Materiality, and Society

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Critical data studies: An introduction (2016, background): “Organizations own vast quantities of user information and hold lucrative data capital (Yousif, 2015), wield algorithms and data processing tools with the ability to influence emotions and culture (Gillespie, 2014; Kramer et al., 2016; Striphas, 2015), and researchers invoke data in the name of scien”
The ethics of AI in health care: A mapping review. (2020, background): “…multiple times in the wider ethical AI literature, the belief that algorithms are more objective than humans is a ‘carefully crafted myth’ (Gillespie et al., 2014), and just because an algorithm can recognise a pattern, for example, does not necessarily make it meaningful (Floridi,…”
Data in New Delhi's predictive policing system (2020, methodology): “instituted is treated with reverence by algorithms, and the criteria used to define these categories is reified by algorithms [7].”