Rage Against the Algorithms: The Case of Activists in the Italian City of Naples

Tuesday, 8 July 2025: 13:00
Location: SJES005 (Faculty of Legal, Economic, and Social Sciences (JES))
Oral Presentation
Enrica AMATURO, University of Naples Federico II, Italy
Caterina AMBROSIO, University of Naples Federico II, Italy
Ciro Clemente DE FALCO, University of Naples Federico II, Italy
The aim of this research is to explore the concept of algorithmic resistance through a case study on a group of political activists from Naples. This study is situated within the broader field of research on the relationship between humans and digital technologies (Kitchin, 2014). While algorithms and artificial intelligence are often portrayed as neutral tools, Actor Network Theory (ANT) defines them as "socio-technical actants" (Latour, 2006) with authority (Cheney-Lippold, 2011) capable of influencing individuals and social phenomena.

Contrary to the perspective of technological determinism (Marres, 2017), individuals are aware of the role algorithms play and develop "folk theories" (Dogruel, 2021) to explain their functioning. These folk theories are employed for various purposes, including attempts to tame or subvert algorithms and AI by repurposing them for unintended uses. Such practices, termed algorithmic resistance, have been documented in contexts like delivery platforms (Tuomi et al., 2023) and among Instagram influencers (Bonini, 2022), where individuals are more cognizant of algorithmic impacts and thus more inclined to develop counter-strategies.

Activists were selected as the focus of this research for two primary reasons: (a) in the realm of online politics, they frequently engage in direct interactions and confrontations with algorithms; and (b) they approach these technologies with a set of values often at odds with the underlying logic of the algorithms.

Between April and May 2024, semi-structured interviews were conducted with 20 activists. The participants demonstrated a repertoire of both evasive and proactive practices, informed by their folk theories regarding algorithmic operations (Karizat et al., 2021). The findings underscore the necessity to reconceptualize the human-digital relationship as one of mutual influence rather than a unidirectional interaction. Furthermore, the study offers valuable insights into the strategies activists employ to resist or counteract algorithms in their political activities on social media platforms.