As digital data becomes increasingly important for security agencies, business, and individuals, the ability to control it becomes ever more attractive with conflict arising as multiple parties attempt to do so. This book looks at the arguments at the heart of these conflicts and creates a framework to analyse and assess how these get resolved.
Zugriffsoptionen:
Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
This article explores responsibility claims by private tech companies. While the business literature has extensively discussed the notion of corporate social responsibility, it does not fully grasp the political significance of responsibility claims. This article proposes a novel conceptual understanding of responsibility by drawing on the concept of representative claims. It argues that by claiming responsibility for an issue or a community, companies are claiming to act on behalf of someone or some purpose—while avoiding democratic oversight. Thereby, responsibility claims not only provide reputational benefits but help companies legitimize and demarcate their political role. Empirically, it uses a representative claims analysis to compare responsibility claims of three companies—Meta, Microsoft, and the NSO Group. Companies either embrace, reorient, or refuse responsibility but frequently define the criteria to measure it. This article thus contributes to our understanding of the political significance of responsibility and tech business power.
Abstract Data form an increasingly essential element of contemporary politics, as both public and private actors extend claims of their legitimate control in diverse areas including health, security, and trade. This paper investigates data governance as a site of fundamental normative and political ordering processes that unfold in light of ever-increasing inter- and transnational linkages. Drawing on the concept of jurisdictional conflicts, the paper traces the evolution of data governance in three cases of transatlantic conflicts as diverging definitional claims over data. The paper argues that these conflicts reveal varying conceptualizations of data linked to four distinct visions of the social world. First, a conceptualization of data as an individual rights issue links human rights with the promotion of sovereignty to a vision of data governance as local liberalism. Second, proponents of a security partnership promote global security cooperation based on the conceptualization of data as a neutral instrument. Third, a conceptualization of data as an economic resource is linked to a vision of the digital economy that endorses progress and innovation with limited regulation. Fourth, a conceptualization of data as a collective resource links the values of universal rights and global rules to a vision of global protection.