Mapping the global free expression landscape using machine learning
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Published:2023-11-22
Issue:12
Volume:5
Page:
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ISSN:2523-3963
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Container-title:SN Applied Sciences
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language:en
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Short-container-title:SN Appl. Sci.
Author:
Ortega-Martorell Sandra,Bellfield Ryan A. A.,Harrison Steve,Dyke Drewery,Williams Nik,Olier Ivan
Abstract
AbstractFreedom of expression is a core human right, yet the forces that seek to suppress it have intensified, increasing the need to develop tools that can measure the rates of freedom globally. In this study, we propose a novel freedom of expression index to gain a nuanced and data-led understanding of the level of censorship across the globe. For this, we used an unsupervised, probabilistic machine learning method, to model the status of the free expression landscape. This index seeks to provide legislators and other policymakers, activists and governments, and non-governmental and intergovernmental organisations, with tools to better inform policy or action decisions. The global nature of the proposed index also means it can become a vital resource/tool for engagement with international and supranational bodies.
Funder
Index on Censorship
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering
Reference38 articles.
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2. European Court of Human Rights (1950) European Convention on Human Rights.
3. Organization of American States (1969)
4. African States members of the Organisation of African Unity (1979) African Commission on Human and Peoples’ Rights Legalinstruments.
5. Bollinger LC, Callamard A (2021) Regardless of frontiers: global freedom of expression in a troubled world.
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