Mapping the global free expression landscape using machine learning.

Freedom 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.Article highlights: We propose a novel methodology using machine learning to model freedom of expression on a global scale. The proposed approach is in nature less prone to subjective interpretation and possibly more rigorous than previous rankings. The resulting freedom of expression indices can be used as a powerful tool to better inform policy or action decisions. [ABSTRACT FROM AUTHOR]