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Article . 2025 . Peer-reviewed
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Alexa’s Monstrous Agency

The Horror of the Digital Voice Assistant
Authors: Nuno Galego Marques Atalaia; Marianne Gunderson;

Alexa’s Monstrous Agency

Abstract

First released by Amazon in 2014, the digital voice assistant Alexa allows users to connect and automate their smart home devices through the sound of their voice. Alexa’s automation of domestic spaces comes, however, with its own set of anxieties. How much data does Alexa sense and capture, and how is this data used? How is agency distributed between humans and the machines surrounding them? Is Alexa an empowering tool, or an invasion of privacy that undermines human agency? In this paper, we trace the ways in which the anxieties surrounding the blurred boundaries of human and non-human agencies introduced by the Alexa interface are represented and negotiated across different narrative forms and archives. Firstly, we turn to the corporate promotional media produced by Amazon in selling its assistant. Secondly, we analyze Alexa’s representation in the web horror genre known as “creepypasta”—first-person narratives written in and for online communities. We frame the interplay between these archives as an entangled narrative field of contestation, which we engage with through a practice of diffractive reading. The images and ideas of each narrative corpus adapt to and are affected by the materials and tropes forwarded by the other. As a result of this interplay, Alexa becomes a monstrous placeholder for the anxieties of its users, whose erratic and pervasive agency endangers every facet of their existence. The analysis of these narratives provides valuable insights into the anxieties surrounding the ongoing encroachment of digital platforms into the lives of humans.

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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!
0
Average
Average
Average
gold