Assessing the Prevalence and Predictors of Incivility in Online News Comments Across Six Countries

Drawing on discussions about the manifestation of incivility in online news comments sections, our research operationalizes the concept of incivility and suggests a methodological approach that relies on manual and automated text analysis and regression analysis to assess its prevalence and identify its predictors. Relying on a data analysis of over two million comments on immigration and unemployment retrieved from twelve newspapers websites from six countries (Brazil, Chile, Portugal, Spain, United Kingdom, and United States), our study confirms the prevalence of incivility in online news comments sections and shows that comments on the topic of immigration, with clear political orientation, particularly right-wing, and displaying populism and false information perception are more prone to include discursive features of incivility.