Renana Keydar, Vera Shikhelman, Tomer Broude, Jonathan Elkobi
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The Discursive Evolution of Human Rights Law: Empirical Insights from a Computational Analysis of 180,000 UN Recommendations
Building on an independent database of 180,000 UN recommendations and a novel computational method, we present the most comprehensive study of human rights (HR) debates to date. We develop a unique empirical model that measures topical density of discourse. This innovative instrument measures the discursive activity of UN HR bodies through a machine-learning textual analysis of their outputs, offering a dynamic map of evolving trends in human rights, both over time (diachronically) and across different mechanisms (synchronically) within the UN HR ecosystem. Leveraging this comprehensive dataset and sophisticated computational methodologies, we identify which protected groups are central to different mechanisms’ attention and highlight the major human rights issues that have witnessed significant changes in attention. Our research presents significant findings on the density of UN HR discourse and its implications for two major debates in the field of HR law—HR proliferation and the structural critique of UN HR bodies.
期刊介绍:
Launched in 2001, Human Rights Law Review seeks to promote awareness, knowledge, and discussion on matters of human rights law and policy. While academic in focus, the Review is also of interest to the wider human rights community, including those in governmental, inter-governmental and non-governmental spheres, concerned with law, policy, and fieldwork. The Review publishes critical articles that consider human rights in their various contexts, from global to national levels, book reviews, and a section dedicated to analysis of recent jurisprudence and practice of the UN and regional human rights systems.