Mirror, mirror on the screen, <i>“Wherein can I find me?”</i> – On the sublime qualities of AI recommendation systems, algorithm conformity, and the <i>else</i>

Algorithmic persuasion is a mode of organizing that happens through inducing experiences that covertly seek to influence behavior by presenting an ongoing stream of affective recommendations. This essay advances the thesis that this mode of algorithmic organizing has the capacity to affect individuals’ sense of their self and explores how and why this may happen. It suggests that individuals may be susceptible to experiencing AI recommendation systems as sublime. Their sublime qualities give normative force to their recommendations and, through them, appeal to one’s affective drives, fears, and hopes, revealing who or what one is or may become. This subjecting of one’s self to these recommendations warrants two critical observations: a behavioral preference we call “people-like-you” and the emergence of “algorithm conformity” as an organizing force. Yet, there can be epistemic corruption in the recommendations. This epistemic corruption is the else , whose experience can evoke uncanny feelings and carries with it the possibility to break the spell of the sublime and to escape and resist algorithm conformity. But can such experiences, individual and dispersed, give rise to actions of collective resistance in a world of algorithmic capitalism?

Authors

Institutions

Publication Details

Journal
Organization
Published
2025-04-02
DOI
https://doi.org/10.1177/13505084251331396
Citations
1
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mirror, mirror on the screen, “Wherein can I find me?” – On the sublime qualities of AI recommendation systems, algorithm conformity, and the else

Frank den Hond, Mikko Vesa
1 citations
Organization
Digital Economy and Work Transformation
4.20
article

Mirror, mirror on the screen, “Wherein can I find me?” – On the sublime qualities of AI recommendation systems, algorithm conformity, and the else

Frank den Hond, Mikko Vesa
article en
1 citations

Abstract

Algorithmic persuasion is a mode of organizing that happens through inducing experiences that covertly seek to influence behavior by presenting an ongoing stream of affective recommendations. This essay advances the thesis that this mode of algorithmic organizing has the capacity to affect individuals’ sense of their self and explores how and why this may happen. It suggests that individuals may be susceptible to experiencing AI recommendation systems as sublime. Their sublime qualities give normative force to their recommendations and, through them, appeal to one’s affective drives, fears, and hopes, revealing who or what one is or may become. This subjecting of one’s self to these recommendations warrants two critical observations: a behavioral preference we call “people-like-you” and the emergence of “algorithm conformity” as an organizing force. Yet, there can be epistemic corruption in the recommendations. This epistemic corruption is the else , whose experience can evoke uncanny feelings and carries with it the possibility to break the spell of the sublime and to escape and resist algorithm conformity. But can such experiences, individual and dispersed, give rise to actions of collective resistance in a world of algorithmic capitalism?

OrganizationVol. 32(8)
Hanken School of Economics (FI), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 9%
Digital Economy and Work Transformation
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mirror, mirror on the screen, <i>“Wherein can I find me?”</i> – On the sublime qualities of AI recommendation systems, algorithm conformity, and the <i>else</i> — Frank den Hond, Mikko Vesa · Organization (2025) | TGRS Research Map | TGRS