Publications

Highlights:

• Research showing how the development of regulation unfolds is lacking
• The authors 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.
• They 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 their model, the authors discuss the dynamics of regulation development in light of the constellation of actors and their power position in the process. 
• They further consider the regulatory outcome and highlight future research questions that build on their findings.

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Cite this article:

Kokshagina, O., Reinecke, P. C., & Karanasios, S. (2023). To regulate or not to regulate: unravelling institutional tussles around the regulation of algorithmic control of digital platforms. Journal of Information Technology, 0(0). https://doi.org/10.1177/02683962221114408 

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Read the preprint version in the OpenInnoTrain Zenodo repository!