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* The study examined teachers’, parents’ and students’ attitudes toward controversial political issues (CPI).* A Random stratified sample of 501 adults and 201 high school students completed questionnaires.* Respondents had little confidence in teachers’ ability to conduct CPI discussions in classrooms.* Students reported low incidents of CPI discussions in classrooms.* Support for CPI discussions differed according to specific topics.Purpose: Many argue for the benefits of controversial political issues (CPI) discussions but little is known about teachers’, parents’, and students’ attitudes toward CPI. The present study explored these attitudes, as well as attitudes towards specific controversial topics, and how they relate to socio-demographic variables.Design/methodology/approach: Quantitative cross-sectional methodology was employed using questionnaires to collect data. Random stratified sampling was used to obtain a representative sample of 501 Jewish Israeli adults, including 70 teachers, and 201 Jewish Israeli 10th-12th grade students.Findings: Respondents, including the teachers themselves, had little confidence in teachers’ ability to conduct CPI discussions in classrooms. Students reported low incidents of CPI discussions in classrooms, and that they are mostly held by homeroom and civics teachers. Students supported CPI discussions more than adults (including teachers) and wanted teachers to disclose their opinions much more than adults did. Support for CPI discussions differed according to specific topics. Linear regression revealed that the less religious individuals are, the more left-wing, older and more educated, the more they will support CPI teaching.

Does social protest following the police killing of unarmed Black civilians have a widespread “opinion-mobilizing” effect against the police? Or, does the racialized nature of these events polarize mass opinion based on standing racial and political orientations? To answer these questions, we use a large dataset comprised of weekly cross sections of the American public and employ a regression discontinuity in time (RDiT) approach leveraging the random timing of the police killing of George Floyd and ensuing nationwide protests. We find that the Floyd protests swiftly decreased favorability toward the police and increased perceived anti-Black discrimination among low-prejudice and politically liberal Americans. However, attitudes among high-prejudice and politically conservative Americans either remained unchanged or evinced only small and ephemeral shifts. Our evidence suggests that the Floyd protests served to further racialize and politicize attitudes within the domain of race and law enforcement in the U.S.

Are legislators responsive to the priorities of the public? Research demonstrates a strong correspondence between the issues about which the public cares and the issues addressed by politicians, but conclusive evidence about who leads whom in setting the political agenda has yet to be uncovered. We answer this question with fine-grained temporal analyses of Twitter messages by legislators and the public during the 113th US Congress. After employing an unsupervised method that classifies tweets sent by legislators and citizens into topics, we use vector autoregression models to explore whose priorities more strongly predict the relationship between citizens and politicians. We find that legislators are more likely to follow, than to lead, discussion of public issues, results that hold even after controlling for the agenda-setting effects of the media. We also find, however, that legislators are more likely to be responsive to their supporters than to the general public.

This paper is positioned at the intersection of two literatures: partisan polarization and deliberative democracy. It analyzes results from a national field experiment in which more than 500 registered voters were brought together from around the country to deliberate in depth over a long weekend on five major issues facing the country. A pre–post control group was also asked the same questions. The deliberators showed large, depolarizing changes in their policy attitudes and large decreases in affective polarization. The paper develops the rationale for hypotheses explaining these decreases and contrasts them with a literature that would have expected the opposite. The paper briefly concludes with a discussion of how elements of this “antidote” can be scaled.

We are witnessing increasing partisan polarization across the world. It is often argued that partisan “echo chambers” are one of the drivers of both policy and affective polarization. In this article, we develop and test the argument that the political homogeneity of people’s social environment shapes polarization. Using an innovative, large-scale pre-registered “lab-in-the-field” experiment in the United Kingdom, we examine how polarization is influenced by partisan group homogeneity. We recruit nationally representative partisans and assign them to discuss a salient policy issue, either with like-minded partisans (an echo chamber) or in a mixed-partisan group. This allows us to examine how group composition affects polarization. In line with our expectations, we find that partisan echo chambers increase both policy and affective polarization compared to mixed discussion groups. This has important implications for our understanding of the drivers of polarization and for how out-group animosity might be ameliorated in the mass public.

Although the concept of protest cycles has received much attention in the collective action literature, its empirical operationalization remains relatively crude compared to the rich theoretical discussion. Reimagining social movements as populations of interlinked protests, we demonstrate the advantages of analyzing protest event networks with a novel dataset related to South Korea’s democracy movement. In our conceptualization, protest events play the role of network nodes and links were identified based on protesters citing prior events as sources of inspiration for mobilizing. Appropriating strategies for network analysis, we assess the types of events that were more likely to be cited as sources of inspiration and bridge otherwise disconnected events. Our analysis shows that protests that raised systemic versus local issues and events that were repressed by the state were more likely to occupy central positions in the democracy movement. By identifying the characteristics of events that contribute to movement inspiration and bridging, our novel approach to analyzing protest events sheds new light on dominant themes in social movement research.

Europe is geographically divided on the issue of immigration. Large cities are the home of Cosmopolitan Europe, where immigration is viewed positively. Outside the large cities—and especially in the countryside—is Nationalist Europe, where immigration is a threat. This divide is well documented and much discussed, but there has been scant research on why people in large cities are more likely to have favorable opinions about immigration. Debates about geographic differences generally highlight two explanations: contextual or compositional effects. I evaluate the two with data from the European Social Survey, the Swiss Household Panel, and the German Socio-Economic Panel. Results support compositional effects and highlight the importance of (demographic and cultural) mechanisms that sort pro-immigration people into large cities. This has several implications for our understanding of societal divisions in Europe; most notably that geographic polarization is a second-order manifestation of deeper (demographic and cultural) divides.

This article provides direction for developing advocacy competency in the public arena. Direction for increasing public awareness, affecting public policy, and influencing legislation is presented. A process of creating change entailing establishing a sense of social/political urgency regarding an issue, organizing and educating a group of people to initiate social/political change, developing a vision and strategy for such change, communicating the vision for that change, empowering broad‐based action, and generating actual change is detailed.

A venerable supposition of American survey research is that the vast majority of voters have incoherent and unstable preferences about political issues, which in turn have little impact on vote choice. We demonstrate that these findings are manifestations of measurement error associated with individual survey items. First, we show that averaging a large number of survey items on the same broadly defined issue area—for example, government involvement in the economy, or moral issues—eliminates a large amount of measurement error and reveals issue preferences that are well structured and stable. This stability increases steadily as the number of survey items increases and can approach that of party identification. Second, we show that once measurement error has been reduced through the use of multiple measures, issue preferences have much greater explanatory power in models of presidential vote choice, again approaching that of party identification.

This article proposes a theory of how interaction in groups influences differential participation in political activism and interrogates this theory through an empirical analysis of online Facebook group interaction. We study the refugee solidarity movement in a mixed methods design employing online ethnography, survey, and “big” social media data. Instead of conceptualizing the group as a social network or social movement organization (SMO), we argue that the group’s culture emerges as patterns of interaction that have implications for what kind of activities in which group members participate. Based on observations from our online ethnography, we suggest that group interaction influences differential individual participation through processes of (1) encoding different habits and (2) attuning the activist to different aspects of situations.We support our theoretical propositions with six statistical tests of the relationship between the group-level variable of contentious group style and the individual-level variable of participation in political protest. The dependent variable, political protest, and a comprehensive set of controls stem from an original survey of the Danish refugee solidarity movement with 2,283 respondents. We link the survey data with “big” social media data used to estimate the focal explanatory variable, contentious group style, generated from content analysis of online interaction in 119 Facebook groups quantified with supervised machine learning. The results show that group style has a consistently positive relationship with the individual’s degree of participation independent of networks, SMO framing, and individual attributes.