
Contents
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The Datafication of Human Rights The Datafication of Human Rights
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Machine Learning: Something Old, Something New Machine Learning: Something Old, Something New
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What Do Machine Learners Learn? What Do Machine Learners Learn?
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Counting the Dead: Statistical Estimation in Human Rights Counting the Dead: Statistical Estimation in Human Rights
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Probability, Uncertainty and the Body Count Probability, Uncertainty and the Body Count
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Fitting the Footage: Processing Video Material Fitting the Footage: Processing Video Material
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Scraping the Real-Time Archive, Predicting the Future? Scraping the Real-Time Archive, Predicting the Future?
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Embracing the Data Age Embracing the Data Age
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Notes Notes
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4 When Violations Become Vectors: Human Rights Work in the Era of Big Data
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Published:October 2022
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Abstract
The fifth chapter traces the informational logic of human rights today, by critically exploring how utopian ideas about big data, algorithmic processes and machine learning are shaping activism today. The chapter draws together three practices now emerging within contemporary human rights activism: the use of machine learning in statistical estimations of human rights violations; algorithmic processes for marshalling large corpuses of video evidence; and processes that scrape the real-time archive of social media to find and predict human rights events. Developing a critical analysis, the chapter suggests that these informational processes often harbour a faith in the idea that information simply ‘speaks for itself’. Consequently, the greater quantities of information and the supposedly deeper insights offered by new technological practices become an end in of themselves. The chapter concludes that such practices reflect a new iteration of the movement’s informational logic, one that suspends socially and politically inflected conceptions of human rights with the promise of ‘cleaner’ and better information.
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