Legislative staff link Members of Congress and their constituents, theoretically facilitating democratic representation. Yet, little research has examined whether Congressional staff actually recognize the preferences of their Members’ constituents. Using an original survey of senior US Congressional staffers, we show that staff systematically mis-estimate constituent opinions. We then evaluate the sources of these misperceptions, using observational analyses and two survey experiments. Staffers who rely more heavily on conservative and business interest groups for policy information have more skewed perceptions of constituent opinion. Egocentric biases also shape staff perceptions. Our findings complicate assumptions that Congress represents constituent opinion, and help to explain why Congress often appears so unresponsive to ordinary citizens. We conclude that scholars should focus more closely on legislative aides as key actors in the policymaking process, both in the United States and across other advanced democracies.

How does violence become publicly unacceptable? I address this question in the context of lynching in the United States. Between 1880 and the 1930s, public discourse about lynching moved from open or tacit endorsement to widespread condemnation. I argue this occurred because of increasing publicity for lynchings. While locals justified nearby lynchings, publicity exposed lynching to distant, un-supportive audiences and allowed African Americans to safely articulate counternarratives and condemnations. I test this argument using data on lynchings, rail networks, and newspaper coverage of lynchings in millions of issues across thousands of newspapers. I find that lynchings in counties with greater access to publicity (via rail networks) saw more and geographically dispersed coverage, that distant coverage was more critical, and that increased risk of media exposure may have reduced the incidence of lynching. I discuss how publicity could be a mechanism for strengthening or weakening justifications of violence in other contexts.

This paper opens the “black box” of real-world deliberation by using text-as-data methods on a corpus of transcripts from the constitutionally mandated gram sabhas, or village assemblies, of rural India. Drawing on normative theories of deliberation, we identify empirical standards for “good” deliberation based on one’s ability both to speak and to be heard, and use natural language processing methods to generate these measures. We first show that, even in the rural Indian context, these assemblies are not mere “talking shops,” but rather provide opportunities for citizens to challenge their elected officials, demand transparency, and provide information about local development needs. Second, we find that women are at a disadvantage relative to men; they are less likely to speak, set the agenda, and receive a relevant response from state officials. And finally, we show that quotas for women for village presidencies improve the likelihood that female citizens are heard.

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.

Does media choice cause polarization, or merely reflect it? We investigate a critical aspect of this puzzle: How partisan media contribute to attitude polarization among different groups of media consumers. We implement a new experimental design, called the Preference-Incorporating Choice and Assignment (PICA) design, that incorporates both free choice and forced exposure. We estimate jointly the degree of polarization caused by selective exposure and the persuasive effect of partisan media. Our design also enables us to conduct sensitivity analyses accounting for discrepancies between stated preferences and actual choice, a potential source of bias ignored in previous studies using similar designs. We find that partisan media can polarize both its regular consumers and inadvertent audiences who would otherwise not consume it, but ideologically opposing media potentially also can ameliorate the existing polarization between consumers. Taken together, these results deepen our understanding of when and how media polarize individuals.

Previous research has emphasized corporate lobbying as a pathway through which businesses influence government policy. This article examines a less-studied mode of influence: private regulation, defined as voluntary efforts by firms to restrain their own behavior. We argue that firms can use modest private regulations as a political strategy to preempt more stringent public regulations. To test this hypothesis, we administered experiments to three groups that demand environmental regulations: voters, activists, and government officials. Our experiments revealed how each group responded to voluntary environmental programs (VEPs) by firms. Relatively modest VEPs dissuaded all three groups from seeking more draconian government regulations, a finding with important implications for social welfare. We observed these effects most strongly when all companies within an industry joined the voluntary effort. Our study documents an understudied source of corporate power, while also exposing the limits of private regulation as a strategy for influencing government policy.

This paper presents new causal estimates of incarceration’s effect on voting, using administrative data on criminal sentencing and voter turnout. I use the random case assignment process of a major county court system as a source of exogenous variation in the sentencing of misdemeanor cases. Focusing on misdemeanor defendants allows for generalization to a large population, as such cases are very common. Among first-time misdemeanor defendants, I find evidence that receiving a short jail sentence decreases voting in the next election by several percentage points. Results differ starkly by race. White defendants show no demobilization, while Black defendants show substantial turnout decreases due to jail time. Evidence from pre-arrest voter histories suggest that this difference could be due to racial differences in exposure to arrest. These results paint a picture of large-scale, racially-disparate voter demobilization in the wake of incarceration.

How to restore citizens’ trust and cooperation with the police in the wake of civil war? We report results from an experimental evaluation of the Liberian National Police’s (LNP) “Confidence Patrols” program, which deployed teams of newly retrained, better-equipped police officers on recurring patrols to rural communities across three Liberian counties over a period of 14 months. We find that the program increased knowledge of the police and Liberian law, enhanced security of property rights, and reduced the incidence of some types of crime, notably simple assault and domestic violence. The program did not, however, improve trust in the police, courts, or government more generally. We also observe higher rates of crime reporting in treatment communities, concentrated almost entirely among those who were disadvantaged under prevailing customary mechanisms of dispute resolution. We consider implications of these findings for post-conflict policing in Liberia and weak and war-torn states more generally.

How did personal wealth and slaveownership affect the likelihood Southerners fought for the Confederate Army in the American Civil War? On the one hand, wealthy Southerners had incentives to free-ride on poorer Southerners and avoid fighting; on the other hand, wealthy Southerners were disproportionately slaveowners, and thus had more at stake in the outcome of the war. We assemble a dataset on roughly 3.9 million free citizens in the Confederacy and show that slaveowners were more likely to fight than non-slaveowners. We then exploit a randomized land lottery held in 1832 in Georgia. Households of lottery winners owned more slaves in 1850 and were more likely to have sons who fought in the Confederate Army. We conclude that slaveownership, in contrast to some other kinds of wealth, compelled Southerners to fight despite free-rider incentives because it raised their stakes in the war’s outcome.

Much of the US public acquires political information socially. However, the consequences of acquiring information from others instead of the media are under-explored. I conduct a “telephone-game” experiment to examine how information changes as it flows from official reports to news outlets to other people, finding that social information is empirically different from news articles. In a second experiment on a nationally representative sample, I randomly assign participants to read a news article or a social message about that article generated in Study 1. Participants exposed to social information learned significantly less than participants who were exposed to the news article. However, individuals exposed to information from someone who is like-minded and knowledgeable learned the same objective facts as those who received information from the media. Although participants learned the same factual information from these ideal informants as they did from the media, they had different subjective evaluations.

Recent work on US policymaking argues that responsiveness to public opinion is distorted by money, in that the preferences of the rich matter much more than those of lower-income Americans. A second distortion—partisan biases in responsiveness—has been less well studied and is often ignored or downplayed in the literature on affluent influence. We are the first to evaluate, in tandem, these two potential distortions in representation. We do so using 49 Senate roll-call votes from 2001 to 2015. We find that affluent influence is overstated and itself contingent on partisanship—party trumps the purse when senators have to take sides. The poor get what they want more often from Democrats. The rich get what they want more often from Republicans, but only if Republican constituents side with the rich. Thus, partisanship induces, shapes, and constrains affluent influence.

Are people conservative (liberal) because they are Republicans (Democrats)? Or is it the reverse: people are Republicans (Democrats) because they are conservatives (liberals)? Though much has been said about this long-standing question, it is difficult to test because the concepts are nearly impossible to disentangle in modern America. Ideology and partisanship are highly correlated, only growing more so over time. However, the election of President Trump presents a unique opportunity to disentangle party attachment from ideological commitment. Using a research design that employs actual “conservative” and “liberal” policy statements from President Trump, we find that low-knowledge respondents, strong Republicans, Trump-approving respondents, and self-described conservatives are the most likely to behave like party loyalists by accepting the Trump cue—in either a liberal or conservative direction. These results suggest that there are a large number of party loyalists in the United States, that their claims to being a self-defined conservative are suspect, and that group loyalty is the stronger motivator of opinion than are any ideological principles.

Using new scaling methods and a comprehensive public opinion dataset, we develop the first survey-based time-series–cross-sectional measures of policy ideology in European mass publics. Our dataset covers 27 countries and 36 years and contains nearly 2.7 million survey responses to 109 unique issue questions. Estimating an ordinal group-level IRT model in each of four issue domains, we obtain biennial estimates of the absolute economic conservatism, relative economic conservatism, social conservatism, and immigration conservatism of men and women in three age categories in each country. Aggregating the group-level estimates yields estimates of the average conservatism in national publics in each biennium between 1981–82 and 2015–16. The four measures exhibit contrasting cross-sectional cleavages and distinct temporal dynamics, illustrating the multidimensionality of mass ideology in Europe. Subjecting our measures to a series of validation tests, we show that the constructs they measure are distinct and substantively important and that they perform as well as or better than one-dimensional proxies for mass conservatism (left–right self-placement and median voter scores). We foresee many uses for these scores by scholars of public opinion, electoral behavior, representation, and policy feedback.

We experimentally investigate the informational theory of legislative committees (Gilligan and Krehbiel 1989). Two committee members provide policy-relevant information to a legislature under alternative legislative rules. Under the open rule, the legislature is free to make any decision; under the closed rule, the legislature chooses between a member’s proposal and a status quo. We find that even in the presence of biases, the committee members improve the legislature’s decision by providing useful information. We obtain evidence for two additional predictions: the outlier principle, according to which more extreme biases reduce the extent of information transmission; and the distributional principle, according to which the open rule is more distributionally efficient than the closed rule. When biases are less extreme, we find that the distributional principle dominates the restrictive-rule principle, according to which the closed rule is more informationally efficient. Overall, our findings provide experimental support for Gilligan and Krehbiel’s informational theory.

Although audio archives are available for a number of political institutions, the data they provide receive scant attention from researchers. Yet, audio data offer important insights, including information about speakers’ emotional states. Using one of the largest collections of natural audio ever compiled—74,158 Congressional floor speeches—we introduce a novel measure of legislators’ emotional intensity: small changes in vocal pitch that are difficult for speakers to control. Applying our measure to MCs’ floor speeches about women, we show that female MCs speak with greater emotional intensity when talking about women as compared with both their male colleagues and their speech on other topics. Our two supplementary analyses suggest that increased vocal pitch is consistent with legislators’ broader issue commitments, and that emotionally intense speech may affect other lawmakers’ behavior. More generally, by demonstrating the utility of audio-as-data approaches, our work highlights a new way of studying political speech.

Cue-taking is thought to be influential because legislators seek information from like-minded, trusted policy experts. Unfortunately for researchers, this self-selection process complicates efforts to separate the causal effects of cues from the tendency of legislators to communicate with similar peers. Prior causally-oriented research has estimated cues’ effects in exogenous networks, but not in the naturally-occurring communication networks that legislators themselves choose to form. This study examines cue-taking with two legislative field experiments, with over 2,000 observations in total, that model the diffusion of a randomly-assigned information treatment across an endogenous legislative network. Experimental results reinforce findings from classic interview-based studies of self-selected communication networks by Matthews and Stimson (1975) and Kingdon (1973): cue-taking influences a large percentage of policy positions and occurs late in the policymaking process. I also contribute to the literature by showing that on average cues complement, rather than substitute for, policy information from other sources of expertise within the legislature.