Algorithmic Prosumers

Today almost everything we do in our everyday life is datafied and fed into an algorithm, i.e. reduced to an input that recursive computational systems process and transform into behavioural models. How algorithms sort, classify and propose contents have a striking impact on how people make sense of the world and derive their sense of self. Despite their powerful social presence, however, algorithms remain mainly invisible to individuals, as well as difficult to examine for researchers. By drawing on auto-ethnographic diaries, prepared following a critical pedagogy approach, this contribution discusses the results of an empirical research that aim to analyse media consumption, content production and sharing practices on digital platforms, in order to shed light on how individuals relate to algorithmic media and how they critically reflect on their apparently innocuous daily online practices. In accordance with the results, we argue that users on digital platforms can be framed as algorithmic prosumers. Indeed, the consumption, as well as the production of contents on digital platforms are algorithmic practices that foster datafication and capitalist surveillance logics, with users feeding algorithmic media while they are contemporarily fed by them within a recursive loop. In this context, it emerges an individual whose subjectivity is strictly connected to and enacted by computational procedures.