All regimes require supporters to govern and survive. We discuss the concept of a ‘regime support group’ and present and validate measures from an extensive dataset recording different features of such groups. This Regime Support and Opposition Groups (ReSOG) dataset covers approximately 2,000 political regimes from almost 200 countries, across 1789–2020. Drawing on the knowledge of about 1,000 country experts, we estimate the size and main geographical location of regime support coalitions and key opposition actors. We also map the social basis of regime support coalitions and opponents, using a 14-category scheme covering various social groups. These data provide a unique quantitative history of the social underpinnings of regimes in the modern era. Using them, we show and discuss the broadening of support coalitions over time, especially in autocracies, the rise of major urban groups, and the relative decline of rural elites in politics, globally.

Across the world, women continue to be underrepresented in parliaments. As gatekeepers to candidate lists, party leaders are in a pivotal position to promote gender balance. But do party elites consider women’s underrepresentation when deciding who to nominate? Leveraging a large-scale conjoint experiment with 1,389 party elites in Austria, Germany, and Switzerland, we find that the more underrepresented women are in candidate lists, the better the chances of women aspirants. Awareness of women’s underrepresentation influences selectors for whom promoting gender equality may be a less crystallized priority: centrists and men. Women’s underrepresentation also reinforces preferences for women aspirants among those for whom gender equality may be a core value (left-wing and women selectors) but does not affect those for whom opposing gender equality may bring electoral advantages (right-wing party elites). Our findings shed light on the potential role that signalling underrepresentation may have on party elites’ selection of women aspirants.

Political communication on immigration is often highly moralized, with parties making claims to fundamental beliefs about right and wrong. Yet, what drives parties to use this rhetoric remains unexplored. Contributing to research on parties’ positional shifts on immigration, this study examines their strategic use of moral language in immigration discourse. To this end, we develop multilingual moral dictionaries to analyze parliamentary immigration speeches from eight Western democracies over six decades. While party-level factors do not explain moral language use, increased elite polarization on the issue is associated with greater moralization among all parties. Qualitative analysis shows that moral language is used overwhelmingly to attack political opponents, highlighting its divisive nature. These findings serve as a corrective to the notion that extreme, anti-immigrant, opposition parties are the main drivers of the moralization of immigration; instead, the broader political climate crucially shapes party incentives to (de)moralize.

How do episodes of post-conflict violence affect public support for peace? I argue that political messaging about who or what is to blame can influence how violence affects attitudes towards peace agreements. I test this argument in Colombia, a country which has experienced violence after a 2016 peace agreement, and where rival political camps debate whether government failures or noncompliance by rebels is to blame. In an experiment with 1466 respondents in conflict and non-conflict zones, I paired news about post-conflict violence with information supporting these competing messages. I find that emphasizing rebel culpability reduced support for peace agreements, but emphasizing poor government implementation did not have a strong countervailing effect. A probe of the mechanisms suggests that while emphasizing rebel culpability increased perceptions that rebels alone were to blame, emphasizing government implementation failures led respondents to conclude that both parties were to blame, limiting the effectiveness of this message.

One common explanation for ethnicized politics and limited national identification in Africa lies with colonial boundaries. Europeans frequently divided ethnic groups as they divvied territory in the nineteenth century; this might have long-run repercussions, as individuals prioritize ties with coethnics in neighboring states rather than with non-coethnic co-nationals. Contra these expectations, we argue that divided groups should have weaker attachments to their ethnicity than non-divided groups will, because partition particularly disrupted pre-existing traditional institutions of governance and exchange within these groups. We argue that partition weakened traditional authorities and, consequently, ethnic identities through three mechanisms: (1) administrative shifts that reduced traditional authorities’ power; (2) limitations on leaders’ capacity to raise revenues; and (3) exacerbating intra-group divisions among co-ethnics living on different sides of the borders. We test this using georeferenced data from rounds 3-6 of the Afrobarometer and find support for our argument. These results are robust to different measures of the extent to which an ethnic group was split and various considerations of ethnic groups’ local and national demographic and political power. Our findings have important implications for studies of the legacies of colonialism and identity politics in Africa today.

This article describes the Global Legislators Database, a new cross-national dataset on the characteristics – party affiliation, gender, age, education, and occupational background – of nearly 20,000 national parliamentarians in the world’s democracies. The database includes 97 electoral democracies with comprehensive information on legislators who held office in each country’s lower or unicameral chamber during one legislative session in 2015, 2016, or 2017. The GLD is the largest individual-level biographical and demographic database on national legislators ever assembled, with a wide range of potential applications. In this article, we provide multiple types of validity checks of the GLD to document the integrity of the data. We also preview three potential applications of the dataset and note other possible uses for this one-of-a-kind resource for studying representation in the world’s democracies.

Illiberal actors in Western democracies increasingly exploit the superficial defence of liberal values like gender equality and LGBTQ+ rights to demonize ethnic out-groups, portraying Muslims as inherently opposed to Western values. This paper investigates whether this stereotype reflects widespread public beliefs and asks: is the stereotypical view of the Muslim community as an illiberal ‘bogeyman’ endorsed by citizens? Leveraging an original double-list experiment design that minimizes sensitivity bias, we identify population-level estimates of this stereotype in Britain, Germany, the Netherlands, and the USA. Our cross-national results reveal a pervasive and ubiquitous stereotype of Muslims as a threat to LGBTQ+ communities across Western democracies. The implications of these findings are concerning as they signal that societal tolerance of ethnic out-groups across liberal democracies remains tainted by prejudicial stereotypes. The results also underscore the alarming electoral potential of far-right parties that exploit homonationalist and femonationalist stereotype-based threat perceptions to their political advantage.

Do climate change-related extreme weather events affect public concern, knowledge, and attention to climate change in China? Matching extreme weather events data from the Emergency Events Database with the 2010 Chinese General Social Survey, we first test whether people in prefectures with more extreme weather events consider climate change more damaging and have a better knowledge of it. We find no such associations. Moreover, we collect 2020 data on extreme whether events from local newspapers for five Eastern and Southeastern Chinese provinces and test whether these events increase public attention to climate change, measured by Baidu search volume index. No associations are found. Interestingly, in prefecture-days with more Covid cases, local population conducted more Baidu searches on climate change and the environment, supporting the ‘great reflection’ thesis, i.e., major shocks like the pandemic put a spotlight on fundamental challenges facing the humanity and have gotten us to reassess our priorities.

Does prosecuting perpetrators of repression under a dictatorship promote public support for human rights and the courts? We argue that convicting perpetrators in human rights trials reduces public acceptance of these violations. However, while convictions signal judicial efforts to end impunity, they may also call attention to the politicized process by which transitional justice begins. We estimate the effects of human rights trial verdicts on attitudes in Argentina, a country ruled by a military dictatorship from 1976–1983 that, twenty-five years later, initiated sweeping human rights trials for past repression. Using observational day-level opinion data from a survey fielded around the guilty verdict for one of the dictatorship’s top-ranking generals, we find the trial verdict increased the public’s rejection of torture and political killings. Yet belief in judicial fairness declined. These results suggest that trials solidify public commitments to human rights, but confidence in the judiciary is not a necessary condition for this effect.

Do voters pay attention to a party’s relationship with its party family? In this paper, I argue that transnational brands such as the party family label assigned to a party are a valuable tool for parties to use to distinguish themselves. In turn, voters can more accurately position parties on the left-right spectrum when the party embraces the ideological profile of the rest of its party family. Using the Comparative Study of Electoral Systems (CSES) and the German Longitudinal Election Study (GLES), the results confirm my expectations that the ideological alignment of party and party family shapes the accuracy of a voter’s perception of the party’s positions. My findings provide support for the argument that transnational brands can influence how domestic political parties are perceived. These findings have important implications for our understanding of voter responsiveness in an increasingly transnational political space the role of transnational political brands.

Ideological polarization between political parties is essential for meaningful electoral competition, but at its extreme can strain democratic functioning. Despite a widespread recognition that multiple divides structure contemporary party polarization in Europe, its prevailing conceptualization and measurement remain one-dimensional. To resolve this tension, we introduce a novel, multidimensional approach to party polarization. Our main focus is on whether different ideological divides reinforce or crosscut each other. We calculate the effective dimensionality of a policy space using the correlation matrix of parties’ positions, which accounts for how the dimensions interrelate. Using both artificial data and positional estimates from the Chapel Hill Expert Survey (1999–2019), we highlight the advantages of our approach and demonstrate that it is better able to capture the relationship between party polarization and mass partisanship. This study has important theoretical, methodological, and empirical implications for our understanding of polarization and democratic representation in a changing political landscape.

How does party support for gender equality in the labour market affect the gender voting gap? A well-established argument from the literature on gender and political behaviour states that working women tend to vote for left-wing parties more than men because they are stronger supporters of the welfare state. However, no study has assessed whether parties’ welfare positions affect the gender voting gap. Leveraging three decades of public opinion data from sixteen Western democracies, I provide evidence in support of that claim: increases in women’s labour force participation are associated with higher female/male voter ratios for the left, but only when those parties strongly support gender-egalitarian policies in the labour market. These findings confirm and add nuance to the previous understanding of the gap: by focusing on public opinion, previous research overlooked party behaviour. Therefore, my evidence elevates the importance of party strategy in explaining gender differences in voting.

Most political systems consist of multiple layers. Yet datasets are predominantly situated at a single territorial tier, encouraging methodological nationalism, regionalism, and localism. We present three new integrated datasets that include electoral, institutional, ideological, and government composition data on the country and regional level (RD|CED, RED and RPSD). With this data, we cover 337 country elections on the regional level, 2,226 regional elections, and 2,825 regional cabinets in 365 regions of 21 countries from 1941 to 2019, accounting for 800 political parties and their ideological positions. Combined, these data complement and extend existing datasets and facilitate the study of political interaction across levels. Data are available at http://multi-level-cross-level-politics.eu/ or can be accessed through the Havard Dataverse repository. We conclude with an agenda for future cross-level studies.

In the study of politics, many theoretical accounts assume that we are experiencing a ‘crisis of democracy’, with declining levels of political trust. While some empirical studies support this account, others disagree and report ‘trendless fluctuations’. We argue that these empirical ambiguities are based on analytical confusion: whether trust is declining depends on the institution, country, and period in question. We clarify these issues and apply our framework to an empirical analysis that is unprecedented in geographic and temporal scope: we apply Bayesian dynamic latent trait models to uncover underlying trends in data on trust in six institutions collated from 3,377 surveys conducted by 50 projects in 143 countries between 1958 and 2019. We identify important differences between countries and regions, but globally we find that trust in representative institutions has generally been declining in recent decades, whereas trust in ‘implementing’ institutions has been stable or rising.

How elected representatives think about public opinion affects the degree to which policies are congruent with the public’s policy preferences. This is especially true for politicians occupying leadership positions, their perceptions matter even more. Extant work concluded that politicians in general do not exhibit a high perceptual accuracy, but direct evidence of the relative accuracy of leaders’ perceptions of public opinion is missing. Drawing on surveys among politicians and citizens in four countries, this study examines the accuracy of the public opinion perceptions of leaders and backbenchers. Irrespective of how leadership is defined and operationalized – executive or party leadership, formal or informal leadership, current or past leadership – we find low perceptual accuracy levels among leading politicians. Compared to backbenchers, and although politicians themselves consider leaders to have a special nose for public opinion, leading politicians do not possess a special public opinion rating skill.

Turnout buying is a mainstay of machine politics. Despite strong theory that selective incentives should spur turnout, meta-analyses of empirical studies show no effect, thus making machine politics seem irrational and unsustainable. I argue that the apparent failure of turnout buying is an artefact of common measurement decisions in experimental and observational research that lump together turnout buying, abstention buying, and vote-choice buying. Data generated using these compound measures include countervailing and null effects that drive estimates of the effects of each strategy toward zero. I show that machines have incentives to diversify their strategies enough to make compound measures substantially underestimate the impact of turnout buying. I propose simple alternative measurement approaches and show how they perform using new survey data and a constituency-level analysis of machine strategy in Mexico. Findings close the gap between theory and facts and reaffirm the rationality of machine politics.

The participants in deliberative mini-publics are typically randomly selected; therefore, mini-publics are often marketed as representative of the wider population. However, in practice, mini-publics are unlikely to be fully representative due to their small size and non-response bias. I report the results of a pre-registered survey experiment designed to assess the implications of deviations from statistical representativeness for citizens’ legitimacy beliefs (N = 1,308). Consistent with prior research, I find that the involvement of a mini-public in democratic decision-making can lead to substantial increases in perceptions of process legitimacy; however, even minor biases in the composition of mini-publics substantially decrease those gains while larger biases can wipe them out entirely. The results of this study temper hopes that mini-publics offer an easy fix to perceptions of low democratic legitimacy.

Affluent citizens commonly record higher election turnout than less affluent citizens. Yet, the causal effect of affluence on voter turnout remains poorly understood. In this article, we rely on Norwegian administrative data to estimate the impact of random, exogenous shocks in (unearned) income on individual-level voter turnout. Exploiting the random timing and size of lottery wins for identification, our main findings suggest that a lottery windfall in the years just before an election boosts individuals’ turnout probability by 1.6 to 1.9 percentage points. Crucially, these point estimates reflect only a small share of turnout differences observed across the income distribution. Hence, our findings strongly suggest that most of the commonly observed positive income-turnout associations do not reflect a causal relationship.