Data as Capital and Algorithmic Input
Shin-yi Peng · Cambridge University Press eBooks · 2024
Datafication-enabled advertising and other datafication practices, in the absence of proper constraints, will deepen the perils of datafication. A set of cross-border competition disciplines proposed in Chapter 5 may well be an effective instrument to address problems associated with platform monopolies and data capitalism. In this way, there would be less need for ex-post competition law enforcement in developing countries and LDCs, where relatively limited resources can be allocated to combat digital cartels and data monopolization. In this context, algorithmic transparency can serve as a starting point for global platform governance. The case study in Chapter 5 investigates the key dimensions of platform transparency requirements in a comparative context and demonstrates that the fragmentation of platform regulation is growing. The proliferation of platform regulations and algorithmic disciplines may place SMEs in an even more difficult situation vis-à-vis big tech companies, which have the resources necessary to manage different legal requirements in different countries. Despite the inherent complexity of the political economy surrounding digital capitalism, Chapter 5 concludes that there are reasons to be optimistic about better governance through international trade agreements.