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Queen's University Belfast

The subject in the big data era: reading fictions of algorithmic manipulation

Abstract

dc:description.abstract

My thesis explores fiction’s response to the question of how the contemporary internet is reshaping subjectivity. Through case studies on Joshua Cohen’s Book of Numbers (2015), Nicola Barker’s H(A)PPY (2017), David Foster Wallace’s The Pale King (2011), and Neal Stephenson’s Fall; or, Dodge in Hell (2019), my thesis identifies the extent to which fiction can encourage contestation of a particular understanding of digital culture. I loosely consider these novels as a subset that has evolved from the “systems novels” defined by Tom LeClair in the 1980s—novels which seek to unpack how human beings are formed, informed, and deformed by the intersection and collision of social systems. To this end, I explore how fiction can reveal the systems which underpin digital culture and, by revealing them to be constructed, encourage the reader to consider how they may be reconstructed. In order to explore how these systems are depicted in fiction, I define the key characteristics of what I have called “algorithmic manipulation”—specific characteristics of algorithms which contribute to digital culture’s ability to reshape subjects and subjective experience. This framework draws upon existing digital culture scholarship, including the work of Antoinette Rouvroy, Shoshana Zuboff and Byung-Chul Han, as well as upon the theory of computation. But on a broader level, my framework draws upon and extends Michel Foucault’s bio-power concept, to consider how algorithms herd subjects en masse, and Ludwig Wittgenstein’s philosophy of language. My use of the latter interrogates to what extent the fact that algorithms are inscribed in code has had an influence on digital culture. I argue that algorithmic manipulation functions through language and through narrative, and it is on these two fields that literature can most effectively engage with and encourage the contestation of digital culture.<br/><br/><br/><i>Thesis embargoed until 31st December 2025 </i>

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy
Level dc:type.qualificationlevel
Doctoral Thesis
Grantor dc:publisher.institution
Queen's University Belfast
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Harrison, Jaime
Advisors dc:contributor.advisor
  • Pepper, Andrew
  • Murray, Alex

Subjects

dc:subject × 6

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
oai:pure.qub.ac.uk/portal:studenttheses/1c3b8bbc-bd9f-42c4-8330-bbc4cf47526b
OAI identifier oai:identifier
oai:pure.qub.ac.uk/portal:studenttheses/1c3b8bbc-bd9f-42c4-8330-bbc4cf47526b

Chain of custody

source
Harvested from
Queen's University Belfast
Base URL
pureadmin.qub.ac.uk/ws/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Harrison, Jaime. The subject in the big data era: reading fictions of algorithmic manipulation. Doctoral Thesis thesis, Queen's University Belfast, 2021. https://pure.qub.ac.uk/en/studentTheses/1c3b8bbc-bd9f-42c4-8330-bbc4cf47526b