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To regulate or not to regulate: Unravelling government institutional work towards AI regulation
Publikationstyp
Journal Article
Date Issued
2023-06
Sprache
English
Volume
38
Issue
2
Start Page
160
End Page
179
Citation
Journal of Information Technology 38 (2): 160-179 (2023-06)
Publisher DOI
Scopus ID
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.
Subjects
Algorithmic control
digital platforms
institutional work
regulation process