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Past research has shown that national language policies can attract foreign direct investment (FDI), and that potential FDI-host countries coordinate their domestic language policies in anticipation of this. While the increased FDI-inflows arising from such language policies may benefit some members of society, these shifts in policy can adversely affect those whose spoken languages are not perceived as beneficial for attracting FDI inflows – primarily indigenous language speakers. This paper develops a theoretical framework to accordingly suggest that FDI inflows have contributed to declines in the usage and protection of indigenous languages in recent decades. This hypothesis is tested on a country-year sample of Latin American countries for the period 1988–2018. In evaluating this hypothesis with the aid of a newly constructed and comprehensive measure of time varying indigenous language usage spanning 20 Latin American countries and 30 years, FDI is determined to be a statistically significant contributor to the decline of indigenous language usage in contemporary Latin America. [ABSTRACT FROM AUTHOR]

Existing measures of human rights abuses are often only available at the country-year level. Several more fine-grained measures exhibit spatio-temporal inaccuracies or reporting biases due to the primary sources upon which they rely. To address these challenges, and to increase the diversity of available human rights measures more generally, this study provides the first quantitative effort to measure human rights abuses from textual records of citizen-government interactions. Using a dataset encompassing over 1.5 million access-to-information (ATI) requests made to the Mexican federal government from June 2003 onward, supervised classification is used to identify the subset of these requests that pertain to human rights abuses of various types. The results from this supervised machine learning exercise are validated against (i) gold standard ATI requests pertaining to past human rights abuses in Mexico and (ii) several accepted external measures of sub-national and sub-annual human rights abuses. In doing so, we demonstrate that the measurement of human rights abuses from citizen-submitted ATI request texts can provide measures of human rights abuse that exhibit both high validity and notable spatio-temporal specificity, relative to existent human rights datasets and variables. [ABSTRACT FROM AUTHOR]