Towards Algorithmic Luddism: class politics in data capitalism

Abstract

This article examines responses to inequalities (re)produced by algorithms, particularly affecting disadvantaged social strata. Positioning class politics at the centre of the analysis of data capitalism, we turn attention to emerging pockets of collective action against algorithmic control. Drawing parallels to the Luddite movement of the nineteenth century, we develop the notion of Algorithmic Luddism along three intertwining tenets: refusal, resistance and re-imagining algorithmic futures. We attempt to reclaim Luddism from its reputation as an anti-technology movement towards one that centres around algorithmically accentuated inequalities. Advancing theorisation on social movements for the digital age, Algorithmic Luddism foregrounds the need for novel understandings of and engagement with class struggle in datafied societies.