Suchergebnisse

To document human rights, monitoring organizations establish a standard of accountability, or a baseline set of expectations that states ought to meet in order to be considered respectful of human rights. If the standard of accountability has meaningfully changed, then the categorized variables from human rights documents will mask real improvements. Cingranelli and Filippov question whether the standard of accountability is changing and whether data on mass killings are part of the same underlying conceptual process of repression as other abuses. These claims are used to justify alternative models, showing no improvement in human rights. However, by focusing on the coding process, the authors misunderstand that the standard of accountability is about how monitoring organizations produce documents in the first place and not how academics use published documents to create data. Simulations and latent variables that model time in a substantively meaningful way validate the conclusion that human rights are improving.

Researchers have puzzled over the finding that countries that ratify UN human rights treaties such as the Convention Against Torture are more likely to abuse human rights than non-ratifiers over time. This article presents evidence that the changing standard of accountability – the set of expectations that monitoring agencies use to hold states responsible for repressive actions – conceals real improvements to the level of respect for human rights in data derived from monitoring reports. Using a novel dataset that accounts for systematic changes to human rights reports, it is demonstrated that the ratification of human rights treaties is associated with higher levels of respect for human rights. This positive relationship is robust to a variety of measurement strategies and model specifications.

According to indicators of political repression currently used by scholars, human rights practices have not improved over the past 35 years, despite the spread of human rights norms, better monitoring, and the increasing prevalence of electoral democracy. I argue that this empirical pattern is not an indication of stagnating human rights practices. Instead, it reflects a systematic change in the way monitors, like Amnesty International and the U.S. State Department, encounter and interpret information about abuses. The standard of accountability used to assess state behaviors becomes more stringent as monitors look harder for abuse, look in more places for abuse, and classify more acts as abuse. In this article, I present a new, theoretically informed measurement model, which generates unbiased estimates of repression using existing data. I then show that respect for human rights has improved over time and that the relationship between human rights respect and ratification of the UN Convention Against Torture is positive, which contradicts findings from existing research.

Where is the human rights discourse most resonant? We use aggregated cross-national Google search data to test two divergent accounts of why human rights appeal to some populations but not others. The top-down model predicts that nationwide interest in human rights is attributable mainly to external factors such as foreign direct investment, transnational NGO campaigns, or international legalization, whereas the bottom-up model highlights the importance of internal factors such as economic growth and persistent repression. We find more evidence for the latter model: not only is interest in human rights more concentrated in the Global South, but the discourse is also most resonant where people face regular state violence. In drawing these inferences, this article confronts high-level debates over whether human rights will remain relevant in the future, and whether the discourse still animates counter-hegemonic modes of resistance. The answer to both questions, our research suggests, is "yes."

The observation, measurement, and analysis of violent and contentious processes are essential parts of the scientific study of peace and conflict. However, concepts such as the level of repression, the number of individuals killed during a civil war, or the perception of members of an out-group, are often by definition difficult to observe directly. This is because governments, non-state groups, NGOs, international organizations, monitoring organizations, and other actors are not incentivized to make information about their actions systematically observable to analysts. In this context, latent variable models can play a valuable role by aggregating various behavioral indicators and signals together to help measure latent concepts of interest that would not otherwise be directly observable. Each of the articles in this special issue uses some form of a latent variable model or related measurement model to bring together observable pieces of information and estimate a set of values for the underlying theoretical concept of interest. Each of the articles pays special attention to the processes that make the observation of peace and conflict processes so challenging. As we highlight throughout this introductory article, the unifying framework we present in this special issue is validation. Though the substantive content of each of the articles in this special issue varies, they represent the diversity of substantive interests that span the study of peace and conflict, broadly conceived. Overall, we hope that the special issue becomes a standard reference for scholars interested in developing and validating new measurement models for the study of peace and conflict.