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How to Become War Machine, Or … A Low Hacktivist (Un)Methodology in Pieces

Authors: Alberto Micali;

How to Become War Machine, Or … A Low Hacktivist (Un)Methodology in Pieces

Abstract

In recent years, digital media and networks have been increasingly used to deploy dissent, opposition and resistance. More frequently, beyond traditional media as communicational tools, politically-oriented hacking subjectivities like ‘Anonymous’ employ media as weapons. However, a similar material deployment of media actions cannot be studied as a static, clearly definable ‘thing’ based on a representational order. These media actions, as well as their compositional relations, and the processes through which they are originated, are mostly ephemeral. Moreover, their deployment is always actualised in emergent and unstable contexts, within which the elements at stake – involving human and non-human components – are continuously in change, acting often beyond representation. For this reason, I suggest a ‘low hacktivist methodology in pieces’ as a theoretical and practical exercise of assemblage for recognising and dealing with similar criticalities without imposing any impossible objectivity. Inspired by Wark’s ‘low theory’ and Guattarian ecosophy, such a ‘scattered’ (un)methodology is conceived as a ‘method assemblage’ capable of activating, rather than framing, the virtual ‘lines of flight’ of the (problematised) objects of research. Within such assemblages, in fact, subject and object are critically put into question, allowing new methodological strategies to deal with hacktivist media actions. Becoming ‘war machine’ is a temporary and fragmented attempt to ‘machinise’ with the forces populating hacktivist media assemblages. Here, an ontological reframing is needed: a confrontation with humanist paradigms that enables, as a critical circuit, the blossoming of theory from the same actions at stake.

Country
United Kingdom
Keywords

P300 Media studies, Low Theory, P300 - Media studies, Post-Humanities, Hacktivism, Media Ecologies, Method Assemblage, 300, JCOpen

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
bronze