Work

Alienation in the Algorithmic Labour of Search Engine Optimisation Specialists

Year: 2025

Type: article

Abstract: ABSTRACT The study examines alienation in the labouring activity of Search Engine Optimisation (SEO) specialists and probes the role of Google's algorithm in these experiences. Drawing on qualitative interviews, it identifies two forms of alienation. The first form involves powerlessness and insecurity due to managerial control by objectives, making employees responsible for influencing an algorithm beyond their control. The second form, occupational status alienation, is marked by insecurity and lack of recognition, driven by a resource allocation mechanism disadvantaging SEO due to its algorithmic uncertainty. These findings enhance our understanding of alienation in algorithmic labour by emphasizing the need to examine workers’ algorithmic experiences within the broader context of capital‐labour relations. In SEO's case, experiences of alienation do not arise from interactions with opaque algorithm wielding power over labour but rather from a managerial model that holds employees responsible for achieving success within an environment defined by algorithmic uncertainty.

Source: New Technology Work and Employment

DOI: 10.1111/ntwe.12341

Authors: Mirela Ivanova, Oliver Nachtwey, Helene Thaa, Friedericke Hardering

Institutions: University of Basel, FH Münster University of Applied Sciences

Language: English

Topic: Digital Economy and Work Transformation

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $3,980