Despite broad adoption of digital media literacy interventions that provide online users with more information when consuming news, relatively little is known about the effect of this additional information on the discernment of news veracity in real time. Gaining a comprehensive understanding of how information impacts discernment of news veracity has been hindered by challenges of external and ecological validity. Using a series of pre-registered experiments, we measure this effect in real time. Access to the full article relative to solely the headline/lede and access to source information improves an individual's ability to correctly discern the veracity of news. We also find that encouraging individuals to search online increases belief in both false/misleading and true news. Taken together, we provide a generalizable method for measuring the effect of information on news discernment, as well as crucial evidence for practitioners developing strategies for improving the public's digital media literacy.

One European policy response to the so-called migration crisis is an accelerated implementation of information campaigns in potential origin countries. Whether and how these campaigns can influence decisions about irregular migration, however, remains under explored. I argue that information campaigns reduce intentions to migrate irregularly and expect the effects to be more substantial when anxiety-inducing messages are used. Based on a field experimental randomized control trial study (N = 1,500) of an actual European information campaign in Nigeria, I provide supportive evidence for this expectation: the information campaign reduced respondents’ intentions to migrate irregularly with a more decisive effect when using an anxiety-triggering campaign message.

Social scientists use list experiments in surveys to estimate the prevalence of sensitive attitudes and behaviors in a population of interest. However, the cumulative evidence suggests that the list experiment estimator is underpowered to capture the extent of sensitivity bias in common applications. The literature suggests double list experiments (DLEs) as an alternative to improve along the bias-variance frontier. This variant of the research design brings the additional burden of justifying the list experiment identification assumptions in both lists, which raises concerns over the validity of DLE estimates. To overcome this difficulty, this paper outlines two statistical tests to detect strategic misreporting that follows from violations to the identification assumptions. I illustrate their implementation with data from a study on support toward anti-immigration organizations in California and explore their properties via simulation.

We elicit social networks among students in an Italian high school either by measuring the complete network in an incentive-compatible way or by using a truncated elicitation of at most five links. We find that truncation undercounts weak links by up to 90% but only moderately undercounts the time spent with strong friends. We use simulations to demonstrate that the measurement error induced by censoring might be particularly significant when studying phenomena such as social learning which are often thought to operate along weak ties. We then discuss how a modified network elicitation protocol might be able to reduce measurement error.

In legislative bargaining, the proposer is often able to extract a greater proportion of the surplus. However, a higher likelihood of being selected as the proposer can backfire, as it may reduce the probability that the agent is included in a winning coalition. We experimentally test the theoretical prediction of potentially negative returns to recognition probability in two-period legislative bargaining noted in Baron and Ferejohn (1989). We find that higher recognition probability benefits subjects in all treatments, except one in which we automate the second period. It is because proposers often favor the member with the greater recognition probability as a coalition partner, and such tendency varies depending on the proposer’s recognition probability, counter to the theoretical prediction. In all treatments, a vast majority of subjects exhibit a strict preference for higher recognition probability.

I apply a new theoretical framework to voting to more cohesively bridge the economic cost-benefit model of voting with the psychology-motivated voting-as-a-habit literature. This new theoretical frame gives greater clarity as to how a vote in one election might beget a vote in another election, while yielding testable predictions as to which circumstances are more favorable for developing turnout persistence. To test these predictions, I make use of a novel dataset consisting of nine large-N, door-to-door voter mobilization field experiments in various election contexts (with ∼1.8 million voters in total). Consistent with prior empirical research, my analysis finds that being nudged to vote in one election leads to increased turnout four years later. But the main contribution of this paper is that the theoretical framework’s predictions and the corresponding empirical results make sense of turnout persistence heterogeneities that have been detected in certain prior empirical studies but not others.

Using an app for smartphones, we run an experiment among high-school students to study the pattern of aggregation of sparsely distributed information. Agents are randomly arranged in small networks and can share only non-verifiable pieces of information. Results show that while information exchange is high, the level and the distribution of centralities among network members are important to shape the overall level of information aggregation. A reduction in the asymmetry among agents’ network centralities is associated with an improvement in the performance of the group in terms of aggregation of information.

Despite admonitions to address attrition in experiments – missingness on Y – alongside best practices designed to encourage transparency, most political science researchers all but ignore it. A quantitative literature search of this journal – where we would expect to find the most conscientious reporting of attrition – shows low rates of discussion of the issue. We suspect that there is confusion on the link between when attrition occurs and the type of validity it threatens when present, and limited connection to and guidance on which estimands are threatened by different attrition patterns. This is all exacerbated by limited tools to identify, investigate, and report patterns attrition. We offer the R package – attritevis – to visualize attrition over time, by intervention, and include a step-by-step guide to identifying and addressing attrition that balances post hoc analytical tools with guidance for revising designs to ameliorate problematic attrition.

Does providing information about police shootings influence policing reform preferences? We conducted an online survey experiment in 2021 among approximately 2,600 residents of 10 large US cities. It incorporated original data we collected on police shootings of civilians. After respondents estimated the number of police shootings in their cities in 2020, we randomized subjects into three treatment groups and a control group. Treatments included some form of factual information about the police shootings in respondents’ cities (e.g., the actual total number). Afterward, respondents were asked their opinions about five policing reform proposals. Police shooting statistics did not move policing reform preferences. Support for policing reforms is primarily associated with partisanship and ideology, coupled with race. Our findings illuminate key sources of policing reform preferences among the public and reveal potential limits of information-driven, numeric-based initiatives to influence policing in the US.

Research on the link between education and political ideology is likely affected by biases common in conventional observational methods. A study by Rasmussen et al. (2021) addresses this problem by examining social and economic ideology in a Danish discordant twin design, finding that education shows positive causal effects on economic, but not social, conservatism. In this paper, I provide a set of replications of these results using a dataset of genotyped Swedish twins. I complement this by using random variation within fraternal twin pairs in a polygenic index of education. Results differ markedly from the original study, but are also shown to be sensitive to precise definitions of the ideological dimensions and which sub-dimensions or items are included. Overall, more care may be warranted when empirically defining ideology. Additionally, educational effects on ideology are likely to be sensitive to particular characteristics of the educational experience across time and space.

What are the relative contributions of stereotypes about the race and deservingness of welfare recipients to Americans’ opinions on welfare? A recent study employing a conjoint-experimental method finds that Americans’ stereotypes of welfare recipients as undeserving drive negative attitudes toward welfare, while stereotypes of welfare recipients as Black have little effect. However, this finding may be produced by the measure of welfare attitudes that includes questions implicating deservingness. We implement a conceptual replication of that study using different measures of welfare policy opinions that directly ask respondents about spending, both on welfare generally and on specific welfare programs. We show that when support for welfare is measured using the spending questions, stereotypes about race are significantly associated with opposition to welfare. These results have important implications for the debate on Americans’ opposition to welfare programs, as well as for the measurement of policy opinions in surveys.

We conduct a laboratory experiment to investigate whether public discussion before a majority vote increases the saliency of minority interests and results in more egalitarian outcomes or whether voters use discussion to form majorities that benefit at the expense of minorities. When there are two alternatives, we find that public discussion increases the likelihood that individuals vote for equal allocations, but has little to no impact on the group outcomes. When participants choose among one equal and several unequal options, the multitude of unequal options creates a coordination problem, and we find that discussion decreases the frequency of egalitarian decisions. Our findings suggest that the effect of public communication on the fairness of majority voting outcomes depends on the strategic environment.

What motivates property owners to pay taxes in places where state enforcement is weak? Using an online experiment among property owners in Lagos, Nigeria, we evaluate the effectiveness of different appeals at increasing respondents’ tax morale—willingness to pay taxes absent enforcement—and attitudes about government enforcement of tax collection. Respondents were randomly assigned to read either a vignette emphasizing the role of property tax revenues in contributing to economic growth and increased property values or one highlighting that tax revenues are used for public goods and services benefiting all residents. The growth and property values message made respondents significantly more favorable toward enforcement of tax collection, but there was no difference in willingness to pay between the two conditions.

Why do some people resolve disputes through the state, while others use religious or customary justice? We address this question by conducting a vignette experiment in Kosovo. We design hypothetical situations in which fictitious characters are involved in disputes regarding inheritance, debt, domestic violence, and murder. We vary information concerning (i) vignette characters’ resources, (ii) their beliefs about the efficiency of state justice, and (iii) dispute settlement customs in the characters’ communities. Survey respondents assess whether a vignette character is likely to seek informal justice, given the described circumstances. We find that respondents associate informal justice with characters who believe that the state would resolve their disputes very slowly, and whose other community members would not use state justice. These findings generalize to respondents’ own justice preferences and patterns of actual informal dispute settlement in Kosovo and beyond. Our article highlights efficiency concerns and local conventions as explanations of informal justice.

How can political elites strengthen citizen commitment to democratic norms when democracy is under imminent assault? We report results from a pre-registered survey experiment on the persuasive effects of actual speeches given by prominent Republican politicians (Schwarzenegger, McConnell) shortly after the January 2020 insurrection at the U.S. capitol. Although both speeches were widely considered effective at the time, in a survey experiment among Republican voters, we find no impact of one-time exposure to these speeches on the endorsement of democracy, the acceptance of election losses, the rejection of political violence, or the relevance of democratic norms in hypothetical vote choices.

Misinformation is widely seen as a threat to democracy that should be promptly addressed by scholars, journalists, and policymakers. However, some of the debated solutions are either controversial (internet platform regulation) or may be difficult and costly to implement in many settings (fact-checking corrections). This study investigates the effectiveness of preemptive interventions, a type of solution that has received considerably less attention in this debate. Studies show that interventions through awareness and media literacy campaigns can inoculate citizens against misinformation, but these interventions are restricted to a few contexts and settings. Our paper uses two field experiments, one of which was conducted in partnership with Brazil’s main newspaper, to investigate the effectiveness of multidimensional interventions against misinformation in São Paulo. The findings show that preemptive interventions can indeed reduce rumor acceptance and provide insights into the strategies to combat misinformation in democracies.

The deadly outbreak of the COVID-19 pandemic has accompanied a worldwide surge in anti-Asian hate crimes and racial violence. In this paper, I experimentally assess the downstream effects of the health crisis on the racial attitudes of the American public. Survey respondents were randomly assigned to different messages about COVID-19 and its association with China and answered a battery of racial attitude questions, including a new measure of anti-Asian racial resentment. Across all outcome measures, I find null effects for both treatment messages, which suggests that racialized views toward Asians may be stable individual-level dispositions that have shaped American responses to the pandemic. Findings from this study have important implications for research on the far-reaching societal and political consequences of the pandemic in the United States and beyond.