To regulate or not to regulate: unravelling institutional tussles around the regulation of algorithmic control of digital platforms
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: Journal of Information Technology, Jahrgang 38, Nr. 2, 06.2023, S. 160-179.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - To regulate or not to regulate
T2 - unravelling institutional tussles around the regulation of algorithmic control of digital platforms
AU - Kokshagina, Olga
AU - Reinecke, Pauline C.
AU - Karanasios, Stan
N1 - Publisher Copyright: © Association for Information Technology Trust 2023.
PY - 2023/6
Y1 - 2023/6
N2 - 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.
AB - 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.
KW - Algorithmic control
KW - digital platforms
KW - institutional work
KW - regulation process
KW - Management studies
UR - http://www.scopus.com/inward/record.url?scp=85149927001&partnerID=8YFLogxK
U2 - 10.1177/02683962221114408
DO - 10.1177/02683962221114408
M3 - Journal articles
AN - SCOPUS:85149927001
VL - 38
SP - 160
EP - 179
JO - Journal of Information Technology
JF - Journal of Information Technology
SN - 0268-3962
IS - 2
ER -