Studies on discrete emotions typically work to evoke one emotion at a time. Yet many political phenomena cause multiple emotions. Threats, for example, cause, anger, and fear, have diametrically opposing behavioral consequences. As a result, the effect of experimental treatments can be masked by the countervailing influence of emotions with similar affect. This issue is exacerbated by existing measures of negative emotions, such as the Positive and Negative Affect Schedule (PANAS). We show that the PANAS is contaminated by systematic measurement error, as negative affect produced by one emotion influences responses on the other. To overcome this, we develop an alternative version of the PANAS that allows respondents to select which emotions they are feeling, then rate the severity. This technique accurately captures respondent’s emotional reactions, reducing measurement error and thus decreasing the correlation between fear and anger. The tactics we developed have broad relevance for experimental researchers analyzing emotional responses to politics.

As the U.S. Government works to slow the spread of the novel coronavirus, messaging is important in getting individuals to comply with public health recommendations, especially as the response from the public seems to be polarized along partisan and ideological lines. Using a recent Centers for Disease Control recommendation of wearing facemasks, I use Regulatory Focus Theory to predict that conservatives will be more responsive to messages related to promotion, while liberals are more responsive to messages related to prevention. Using a pre-registered experimental design, I find no evidence that prevention messages influence attitudes toward mask wearing. Promotion messages, however, cause conservatives to become less supportive of mask wearing, in contrast to theoretical predictions. These findings suggest that, related to messaging about mask wearing, strong ideological differences do not emerge related to the focus of the message.

Despite the introduction of social restrictions designed to stem the spread of COVID-19, many Indonesians have continued to attend places of worship. This poses a major public health threat, as congregational prayer involves large numbers of worshippers gathering under conditions known to enable the spread of the virus. Using a nationally representative survey, we evaluated the efficacy of messages delivered from different authorities in encouraging Indonesians to worship at home. We find no consistent evidence that public health messages change Indonesians’ attitudes toward communal prayer or their willingness to forgo communal prayer during the COVID-19 pandemic. Importantly, however, looking at well-defined subpopulations – non-Muslims and supporters of the president – we find suggestive evidence that messages were effective in increasing the likelihood of individuals to indicate a willingness to forgo communal prayer in the forthcoming week. Our results suggest that public health officials should eschew blanket messaging strategies in favor of more targeted approaches.

Affective polarization – partisans’ dislike and distrust of those from the other party – has reached historically high levels in the United States. While numerous studies estimate its effect on apolitical outcomes (e.g., dating and economic transactions), we know much less about its effects on political beliefs. We argue that those who exhibit high levels of affective polarization politicize ostensibly apolitical issues and actors. An experiment focused on responses to COVID-19 that relies on pre-pandemic, exogenous measures of affective polarization supports our expectations. Partisans who harbor high levels of animus towards the other party do not differentiate the “United States’” response to COVID-19 from that of the Trump administration. Less affectively polarized partisans, in contrast, do not politicize evaluations of the country’s response. Our results provide evidence of how affective polarization, apart from partisanship itself, shapes substantive beliefs. Affective polarization has political consequences and political beliefs stem, in part, from partisan animus.

I conduct an experiment which examines the impact of moral suasion on partisans engaged in uncivil arguments. Partisans often respond in vitriolic ways to politicians they disagree with, and this can engender hateful responses from partisans from the other side. This phenomenon was especially common during the contentious 2016 US Presidential Election. Using Twitter accounts that I controlled, I sanctioned people engaged partisan incivility in October 2016. I found that messages containing moral suasion were more effective at reducing incivility than were messages with no moral content in the first week post-treatment. There were no significant treatment effects in the first day post-treatment, emphasizing the need for research designs that measure effect duration. The type of moral suasion employed, however, did not have the expected differential effect on either Republicans or Democrats. These effects were significantly moderated by the anonymity of the subjects.

Despite corruption’s effects on citizen welfare, there is substantial variation in when citizens are willing to sanction government wrongdoing. This paper uses a conjoint survey experiment, conducted in Uganda, to test how information about the position a corrupt official holds, and the details of an act of embezzlement affect citizens’ perceptions of corruption severity and willingness to punish. I find that the revenue source of stolen funds and the sector to which the funds had been allocated have the largest impact on perceived severity, followed by whether stolen funds are spent privately or recirculated through patronage or clientelism. The position the corrupt official holds has a smaller impact on severity, including whether the official was elected and whether he was a central or local official.

While recent evidence suggests that women exhibit a high capacity to cooperate in all-women groups, existing research focuses on how women cooperate among themselves versus in mixed-gender situations. We still know little, however, about how social differences among women affect their collective action capacity. We examine this by implementing a public goods experiment in Lebanon in which 713 women and men were randomly assigned to play in same-gender groups that were either homogeneous or heterogeneous in their class and sectarian compositions. We show that women contribute significantly less in mixed-class groups while men contribute more, reinforcing that this pattern is unique to women. We also demonstrate that class differences can undermine women’s cooperation more than sectarian differences. These findings highlight how social differences – and class differences in particular – can impede women’s collective action capacity, revealing the potential barriers to building broad, gender-based coalitions to advance women’s rights and interests.

This paper examines the extent to which social pressures can foster greater responsiveness among public officials. I conduct a non-deceptive field experiment on 1400 city executives across all 50 states and measure their level of responsiveness to open records requests. I use two messages to prime social pressure. The first treatment centers on the norm and duty to be responsive to the public’s request for transparency. The second treatment is grounded in the peer effect literature, which suggests that individuals change their behavior in the face of potential social sanctioning and accountability. I find no evidence that mayors are affected by priming the officials’ duty to the public. The mayors who received the peer effects prime were 6–8 percentage points less likely to respond, which suggests a “backfire effect.” This paper contributes to the growing responsiveness literature on the local level and the potential detrimental impact of priming peer effects.

Many western liberal democracies have witnessed increased discrimination against immigrants and opposition to multiculturalism. Prior research identifies ethno-linguistic differences between immigrant and native populations as the key source of such bias. Linguistic assimilation has therefore been proposed as an important mechanism to reduce discrimination and mitigate conflict between natives and immigrants. Using large-scale field experiments conducted in 30 cities across Germany – a country with a high influx of immigrants and refugees – we empirically test whether linguistic assimilation reduces discrimination against Muslim immigrants in everyday social interactions. We find that it does not; Muslim immigrants are no less likely to be discriminated against even if they appear to be linguistically assimilated. However, we also find that ethno-linguistic differences alone do not cause bias among natives in a country with a large immigrant population and state policies that encourage multiculturalism.

We study the extent to which centralized democratic institutions enhance collective action under political accountability. In a public goods game with costly punishment, we vary the appointment of one group member to enforce punishment. Specifically, we compare democratically elected punishers to those appointed exogenously, under both single- and multiple-selection environments. We find that democratically appointed sanctioning authority has muted effects on group outcomes; yet, they contribute as much as other group members when facing repeated elections, as opposed to the ones in single selection or exogenously appointed. One important feature of modern governance to discipline authorities is political accountability; when in place, it offers different incentives, and in particular, we observe a responsibility effect reflected in higher contribution behavior. Important in our study results, this effect rises only under a democracy.

Our research speaks to the ongoing debate over the extent and severity of partisan political divisions in American society. We employ behavioral experiments to probe for affective polarization using dictator, trust, and public goods games with party identification treatments. We find that subjects who identify politically with the Democratic or Republican Party and ideologically as liberals and conservatives display stronger affective biases than politically unaffiliated and ideological moderates. Partisan subjects are less altruistic, less trusting, and less likely to contribute to a mutually beneficial public good when paired with members of the opposing party. Compared to other behavioral studies, our research suggests increasing levels of affective polarization in the way Americans relate to one another politically, bordering on the entrenched divisions one commonly sees in conflict or post-conflict societies. To overcome affective polarization, our research points to inter-group contact as a mechanism for increasing trust and bridging political divides.

In democracies, majority-rule voting is an esteemed rule for collective decisions, but its hazards have recently become apparent after a series of controversial referendums and ascendant populist leaders. Here, we investigate people’s judgments about when voting is appropriate for collective decisions across five countries with diverse cultures and political institutions (Denmark, Hungary, India, Russia, and USA). Participants read scenarios in which individuals with conflicting preferences need to make a collective decision. They judged whether the group should decide by voting, consensus, leadership, or chance. We experimentally manipulated whether the group contains a vulnerable minority – a smaller number of people with more at stake than the majority. In all five countries, participants generally preferred voting without a vulnerable minority, with relatively greater support for voting in more democratic countries. But, when the group included a vulnerable minority, participants in all countries reduced their support for voting and instead preferred consensus.

According to the burgeoning voter mobilization field experiments literature, impersonal contact has little-to-no effect. A conversation with a computer is, by definition, an impersonal interaction. However, chatbots are form of communication wherein a computer imitates conversations by interacting using natural language. Human-to-chatbot interactions are often perceived as similar to human-to-human interactions. How ubiquitous are chatbots? Just ask Siri, Cortana, Bixby, or Alexa, or ask for help on any e-commerce website (these are each chatbots). A simple voter mobilization treatment reminding users of a political chatbot (Resistbot) to vote and providing information about polling locations and hours increased turnout by 1.8 percentage points in a 2019 election. The results replicate previously unpublished field experiments by Resistbot in 2018 that found smaller but statistically significant increases in turnout.

How much does politics affect relationship building? Previous experimental studies have come to vastly different conclusions – ranging from null to truly transformative effects. To explore these differences, this study replicates and extends previous research by conducting five survey experiments meant to expand our understanding of how politics does/does not shape the formation of romantic relationships. We find that people, indeed, are influenced by the politics of prospective partners; respondents evaluate those in the political out-group as being less attractive, less dateable, and less worthy of matchmaking efforts. However, these effects are modest in size – falling almost exactly in between previous study estimates. Our results shine light on a literature that has, up until this point, produced a chasm in study results – a vital task given concerns over growing levels of partisan animus in the USA and the rapidly expanding body of research on affective polarization.

We analyze the results of a neighbor-to-neighbor, grassroots get-out-the-vote (GOTV) drive in Virginia, in which unpaid volunteers were encouraged to contact at least three nearby registered voters who were likely co-partisans yet relatively unlikely to vote in the 2017 state election. To measure the campaign’s effectiveness, we used a pairwise randomization design whereby each volunteer was assigned to one randomly selected member of the most geographically proximate pair of voters. Because some volunteers unexpectedly signed up to participate outside their home districts, we analyze the volunteers who adhered to the original hyper-local program design separately from those who did not. We find that the volunteers in the original program design drove a statistically significant 2.3% increase in turnout, which was concentrated in the first voter pair assigned to each volunteer. We discuss implications for the study and design of future GOTV efforts.

Immigration is highly salient for voters in Europe and the USA and has generated considerable academic debate about the causes of preferences over immigration. This debate centers around the relative influences of sociotropic or personal economic considerations, as well as noneconomic threats. We provide a test of the competing egocentric, sociotropic, and noneconomic paradigms using a novel constrained preference experiment in which respondents are asked to trade off preferred reductions in immigration levels with realistic estimates of the personal or societal costs associated with those reductions. This survey experiment, performed on a national sample of British YouGov panelists, allows us to measure the price-elasticity of the publicʼs preferences with regard to levels of European and non-European immigration. Respondents were willing to admit more immigrants when restriction carries economic costs, with egocentric considerations as important as sociotropic ones. People who voted for the UK to Leave the European Union in the 2016 referendum are less price-elastic than those voting Remain, indicating that noneconomic concerns are also important.1

Are elected officials more responsive to men than women inquiring about access to government services? Women face discrimination in many realms of politics, but evidence is limited on whether such discrimination extends to interactions between women and elected officials. In recent years, several field experiments have examined public officials’ responsiveness. The majority focused on racial bias in the USA, while the few experiments outside the USA were usually single-country studies. We explore gender bias with the first large-scale audit experiment in five countries in Europe (France, Germany, Ireland, Italy, and Netherlands) and six in Latin America (Argentina, Brazil, Chile, Colombia, Mexico, and Uruguay). A citizen alias whose gender is randomized contacts members of parliament about unemployment benefits or healthcare services. The results are surprising. Legislators respond significantly more to women (+3% points), especially in Europe (+4.3% points). In Europe, female legislators in particular reply substantially more to women (+8.4% points).

A growing body of research explores the factors that affect when corrupt politicians are held accountable by voters. Most studies, however, focus on one or few factors in isolation, leaving incomplete our understanding of whether they condition each other. To address this, we embedded rich conjoint candidate choice experiments into surveys in Argentina, Chile, and Uruguay. We test the importance of two contextual factors thought to mitigate voters’ punishment of corrupt politicians: how widespread corruption is and whether it brings side benefits. Like other scholars, we find that corruption decreases candidate support substantially. But, we also find that information that corruption is widespread does not lessen the sanction applied against corruption, whereas information about the side benefits from corruption does, and does so to a similar degree as the mitigating role of permissible attitudes toward bribery. Moreover, those who stand to gain from these side benefits are less likely to sanction corruption.

Scholars, the media, and ordinary people alike express alarm at the apparent loathing between Democrats and Republicans in the mass public. However, the evidence of such loathing typically comes from survey items that measure attitudes toward the Democratic and Republican Parties, rather than attitudes toward ordinary partisans. Using a nationally representative survey, I find that Democrats and Republicans have substantially more positive feelings toward ordinary people belonging to the opposing party than they do toward politicians in the opposing party and the opposing party itself. These results indicate that research relying on measures of feelings toward the opposing “Party” vastly overstates levels of partisan animosity in the American public and demonstrate the need to distinguish between attitudes toward party elites and ordinary partisans in future research.

Which institutional features do Latin American elites favor for local climate change policies? Climate change mitigation requires active local-level implementation, but it remains unclear which institutional arrangements maximize support for environmental rules. In this paper, we run a conjoint experiment with elite members of 10 Latin American countries and ask respondents to evaluate institutional designs drawn from a pool of 5,500 possible local climate governance arrangements. We find that Latin American elites prefer international organizations to formulate climate policies, support imposing increasing fines on violators, and favor renewing agreements every 5 years. We also find that elites support both international institutions and local courts to mediate conflicts, but they distrust non-governmental organizations and reject informal norms as a means of conflict resolution. Our results identify possible challenges in crafting local climate mitigation policies and offer new insights about how to integrate local and international levels in environmental agreements.