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The world's over 3,800 coal-fired power plants are sources of substantial emissions of toxic air pollutants. This study explores people's unequal exposure to air pollution from these coal plants. It simulates the wind dispersion of pollutants originating from each coal power plant using the Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) with Gaussian dispersion. The study generates three-dimensional pollution trajectories and provide a global map of nitrogen oxide (NOx), sulfur dioxide (SO2), and particle pollution from coal plants and their contributions to overall pollution levels. The study estimates that 2.3 billion people globally are exposed to SO2 and particle pollution from coal plants; 247.5 million of them are exposed to transboundary pollution from foreign coal plants. The findings show that pollution increases with income levels, though at a diminishing rate at high income levels. In the proximity of coal power plants, downwind areas are associated with higher pollution and lower income levels compared to areas upwind. These findings are consistent with strategic location choices that cause or reinforce environmental injustices associated with air pollution.

Air --- Coal-fired power plants --- Pollution --- Evaluation. --- Environmental aspects.

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While international election interference is not new, Russia is credited with "industrializing" trolling on English-language social media platforms. In October 2018, Twitter retrospectively identified 2.9 million English-language tweets as covertly written by trolls from Russia's Internet Research Agency. Most active 2015-2017, these Russian trolls generally supported the Trump campaign (Senate Intelligence Committee, 2019) and researchers have traced how this content disseminated across Twitter. Here, we take a different tack and seek exogenous drivers of Russian troll activity. We find that trolling fell 35% on Russian holidays and to a lesser extent, when temperatures were cold in St. Petersburg. More recent trolls released by Twitter do not show any systematic relationship to holidays and temperature, although substantially fewer of these that have been made public to date. Our finding for the pre-2018 interference period may furnish a natural experiment for evaluating the causal effect of Russian trolling on indirectly-affected outcomes and political behaviors -- outcomes that are less traceable to troll content and potentially more important to policymakers than the direct dissemination activities previously studied. As a case in point, we describe suggestive evidence that Russian holidays impacted daily trading prices in 2016 election betting markets.