To regulate or not to regulate: unravelling institutional tussles around the regulation of algorithmic control of digital platforms. (June 2023)

• Record Type: Journal Article
• Authors: Kokshagina, Olga; Reinecke, Pauline C; Karanasios, Stan
• Other Names: Butler Tom guest-editor.; Gozman Daniel guest-editor.; Lyytinen Kalle guest-editor.
• Is Part Of: Journal of information technology. Volume 38:Number 2(2023)
• Page Start: 160
• Page End: 179
• Publication Date: 2023-06
• Subjects: Algorithmic control -- digital platforms -- institutional work -- regulation process; Information technology -- Periodicals; Information storage and retrieval systems -- Periodicals; Information resources management -- Periodicals; 658.40380285
• DOI: 10.1177/02683962221114408
• Languages: English
• ISSNs: 0268-3962

Abstract

Regulating how digital platforms use algorithms to determine and control content displayed to their users is both a controversial topic and an important societal challenge. Existing research acknowledges institutional tussles around regulating how digital platforms use algorithms to determine and control content. However, we lack research showing how the development of regulation unfolds. We build on data from a longitudinal discourse analysis of 410 media articles and 483 policy and industry documents to study two cases of algorithmic control regulation in Australia. The first involves algorithmic control for content display, the second for content moderation. We develop a process model of institutional work towards regulation of algorithmic control. It captures the institutional tussles between governments, digital platforms and third parties as each expresses their perspective on legitimate forms of algorithmic control and shapes the process and outcome of regulation. Building on our model, we discuss the dynamics of regulation development in light of the constellation of actors and their power position in the process. We further consider the regulatory outcome and highlight future research questions that build on our findings.