Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Immigrant Resentment and Voter Fraud Beliefs in the U.S. Electorate Adriano Udani Assistant Professor Department of Political Science University of Missouri – St. Louis [email protected] David C. Kimball Professor Department of Political Science University of Missouri – St. Louis [email protected] February 2, 2017 Abstract Public beliefs about the frequency of voter fraud and support for restrictive voting laws in the United States remain high among partisans. However, we know very little about the sources of public beliefs about voter fraud. We identify conditions that should make anti-immigrant attitudes a strong predictor of voter fraud beliefs. Using new data from a survey module in the 2014 Cooperative Congressional Election Study and the 2012 American National Election Study, we show that immigrant resentment is strongly associated with voter fraud beliefs. Our findings further show that while black resentment is a robust and reliable predictor, its effect and statistical significance diminishes in the presence of immigrant resentment. Our results pose implications for political science scholarship, as immigration matters beyond other race related concerns. The topic of fraudulent electoral practices will likely continue to provoke voters to call to mind groups that are politically constructed as “un-American.” * We acknowledge the support of the University of Missouri Research Board and the College of Arts and Sciences at the University of Missouri-St. Louis. Earlier versions of this manuscript were presented at the Survey Experiments Panel at the 2015 Annual Meeting of the Midwest Political Science Association in Chicago, Illinois and at the 2015 Cooperative Congressional Election Study Conference in Provo, Utah. We are grateful for the helpful feedback from our discussants, panelists, and attendees. 1 INTRODUCTION Public concerns about voting integrity are more than an academic curiosity, since they are frequently cited to support particular election reforms. In two recent Supreme Court cases, Purcell v. Gonzalez (2006) and Crawford v. Marion County (2008), the majority decision accepted state arguments that voting restrictions, such as photo identification and proof of citizenship requirements, are needed to maintain public confidence in elections. Similarly, lawmakers frequently invoke public concerns about voter fraud as the basis for new voting restrictions (Minnite 2010; Hasen 2012). Indeed, people who believe that voter fraud is common are more likely to favor laws requiring voters to show a photo ID before being allowed to cast a ballot (Wilson and Brewer 2013). Beliefs about widespread voter fraud have filtered across the American mass public, despite evidence that voter fraud occurs very rarely (Ansolabehere, Luks and Schaffner 2015; Minnite 2010; Fogarty et al. 2015; Ahlquist, Mayer, and Jackman 2014; Christensen and Schultz 2014; Levitt 2014). Given that beliefs about widespread voter fraud are influential in driving public support for voter restrictions, it is important to understand the sources of these beliefs. While the literature on voter fraud beliefs is emerging, political scientists still know little about why people hold different beliefs about how much voter fraud occurs. Upon taking office in 2016, President Donald Trump called for a major investigation into voter fraud. Recently, President Trump has been the most prominent proponent of voter fraud conspiracies. Typically, his claims are vague about the nature of the alleged fraud, but when Trump has offered specifics he tends to blame immigrants as the culprits. President Trump also centered his campaign for president around anti-immigrant rhetoric and policy proposals, though Trump is certainly not the first Republican politician to frame immigrants as criminals or fraudulent voters. Three conditions in the United States are expected to produce a strong association between anti-immigrant attitudes and public beliefs about voter fraud: (1) relatively high levels of immigration 2 in recent years that make immigration a salient national issue; (2) an immigrant threat narrative in political rhetoric that frame immigrants as criminals and undeserving of the rights of citizenship; and (3) elite claims about voter fraud that incorporate elements of immigrant threat language. While we test this theory on the United States we believe that anti-immigrant attitudes will be a potent predictor of voter fraud beliefs in other countries where these conditions also exist. In this study, our main objective is to examine the extent to which anti-immigrant attitudes influence public beliefs about the frequency of voter fraud. Most of what we know about voter fraud beliefs is informed by broader attitudes about American government institutions and electoral outcomes. For example, some studies show that claims of voter fraud in the United States are generally made by Republicans and claims of voter suppression are generally made by Democrats (Hasen 2012). Other studies suggest that racial attitudes are also related to beliefs about fraudulent elections (Wilson and Brewer 2013). However, even as Trump as well as other voter identification (ID) proponents continue to use anti-immigration rhetoric in their voter fraud allegations, no study has yet to theorize and empirically test whether anti-immigrant rhetoric would influence perceptions of fraudulent elections. We argue that a person’s animosity toward immigrants – particularly, immigrant resentment – is a highly influential predisposition since its components reflect attitudes toward crime, deserving membership in the polity, perceived threats to American traditions, and fears about losing political influence. Recent political rhetoric frequently combines these elements by linking immigration with crime and voter fraud in particular. We posit that similar attitudes are called to mind when people attempt to enumerate instances of voter fraud in U.S. elections. By bridging the literatures on immigrant threat and voter fraud together, our study is the first to theorize and test a link between public attitudes toward election integrity and anti-immigrant attitudes. 3 We report the results of two studies to examine the relationship between attitudes toward immigrants and voter fraud beliefs. Our first study reports results from a survey module in the 2014 Cooperative Congressional Election Study (CCES). We test an immigrant resentment hypothesis along with dominant frameworks in political science. Our second study examines public perceptions of election integrity in the United States using data from the 2012 American National Election Study (ANES). In each study, we find that anti-immigrant attitudes strongly predict beliefs about voter fraud. Our results provide important contributions to political science. Not only do we fill a gap of understanding as to the origins of voter fraud beliefs, but we also show that immigrant resentment is a strong and reliable predictor of voter fraud beliefs, outperforming conventional political predispositions and contextual information effects. We organize the paper as follows. First, we explain the reasons for which anti-immigrant attitudes should be associated with voter fraud beliefs. We then provide an overview of scholarship on public beliefs about voter fraud. Next, we present our data, methods, and evidence from our two studies. Finally, we provide some concluding remarks about our results. ANTI-IMMIGRANT ATTITUDES AND VOTER FRAUD BELIEFS We identify two mechanisms that can produce an association between anti-immigrant attitudes and beliefs about voter fraud in public opinion. One mechanism linking the two sets of attitudes would be widespread empirical evidence of higher rates of voter fraud among immigrants. However, available evidence suggests that non-citizen voting is extremely rare and less common than other forms of election fraud, such as absentee fraud and ballot tampering by officials (Ansolabehere, Luks, and Schaffner 2015; Kahn and Carson 2012). A second mechanism relies on three reinforcing conditions: (1) relatively high levels of immigration that raise the salience of immigration in public opinion; (2) political rhetoric that often paints immigrants as lawbreakers, thus priming attitudes toward immigrants when people think 4 about criminal behavior; and (3) elite claims of voter fraud and non-citizen voting that sharpen the link between anti-immigrant attitudes and crime and extends that association to beliefs about voter fraud. These conditions are similar to Kinder and Kam’s (2009) theory about the conditions that “activate” ethnocentrism as powerful force in public opinion. On the first condition, the United States has experienced relatively high levels of immigration over the past twenty years, with most of the recent wave of immigrants coming from Latin America and Asia (Hajnal and Lee 2011, 10; Garand, Xu, and Davis 2015). Currently, the foreign-born share of the total population in the United States is higher than it has been in almost one hundred years. As a result, immigration attitudes are likely more salient among Americans than they were in the more distant past. On the second condition, political rhetoric tends to feature an “immigrant threat” narrative that links immigration to crime, job loss, and several other social and political maladies (Abrajano and Hajnal 2015; Albertson and Gadarian 2015). The threat narrative, which is common in media coverage and elite political rhetoric, is absorbed by many Americans and expressed as resentment toward immigrants. Resentment takes the form of negative stereotypes about immigrants, fears about cultural and political decline, and beliefs that immigrants are not equally deserving of political rights. The immigrant threat narrative has been injected into several policy debates (Abrajano and Hajnal 2015; Albertson and Gadarian 2015), where studies indicate that anti-Latino prejudice, nativism, ethnocentrism, or anxiety about increased immigration influence public opinion (Brader, Valentino and Suhay 2008; Kinder and Kam 2009; Schildkraut 2011; Knoll and Shewmaker 2015; Albertson and Gadarian 2015). In some quarters there is also a longstanding strain of anxiety about demographic change in the United States, a fear that the country as they know it is slipping away. Public opinion on many policies is “group-centric,” influenced by attitudes toward the groups that are targeted or most affected by the policies (Nelson and Kinder 1996). As political rhetoric continues to construct 5 immigration as a problem of social deviance (i.e. immigrants illegally crossing the border) (Haynes, Merolla and Ramakrishnan 2016), we expect that citizens with higher levels of animosity toward immigrants will also likely believe that the integrity of American civic traditions, such as voting in elections, are deteriorating as the country becomes increasingly diverse. Thus, one impact of the immigrant threat narrative is that when people think about criminal or deviant behavior they tend to envision immigrants as likely perpetrators. On the third condition, claims of voter fraud by non-citizens draw on and reinforce the immigrant threat narrative in the United States. The immigrant threat narrative claims, for example, that immigration leads to more crime and drains public resources in areas such as health, education, and welfare. This fuels stereotypes of immigrants as incompetent, untrustworthy and undeserving of government assistance (Garand, Xu, and Davis 2015). We argue that voter fraud beliefs may reflect people’s insistence that immigrants are undeserving of the full benefits of democratic citizenship. Elite rhetoric about voter fraud is often vague, but when a specific mechanism is provided it tends to focus on allegations of non-citizens voting in elections (Fogarty et al. 2015). For example, President Trump claims that he lost the popular vote in the 2016 election because millions of undocumented immigrants participated illegally in the election (House and Dennis 2017). In congressional testimony, Kansas Secretary of State Kris Kobach alleged that “the problem of aliens registering to vote is a massive one, nationwide” (Kobach 2015). To this end, claims that noncitizens are illegally registering and voting in American elections likely reinforce the same negative stereotypes about immigrants and also suggest that voter restrictions – which theoretically have nothing to do with immigration – are nevertheless another domestic policy that has been “immigrationalized” by political elites (Garand, Xu, and Davis 2015). As voter fraud involves allegations of people breaking the law and cheating the system, these conditions suggest that people 6 with anti-immigrant attitudes are more likely to believe that voter fraud occurs, even forms of voter fraud that do not necessarily involve non-citizens (H1). Other research suggests that voter ID proponents direct immigrant resentment toward Latinos. African Americans and Latinos are less likely than whites to possess a valid photo ID (Barreto, Nuño and Sanchez 2009). Zoltan Hajnal, Nazita Lajevardi, and Lindsay Nielson (2017) find that among states that have strict ID laws, Latino Americans and Asian Americans have the lower turnout than non-Hispanic whites and African Americans. Studies suggest that the projected growth of Latino and Asian Americans will further prompt legislative efforts to preserve status quo political arrangements (Hicks et al. 2015; Bentele and O’Brien 2013). Recent data from the National Asian American Election Study show that only a small fraction of Asian Americans are targeted for their votes (Lee 2016), which fits with other research that documents how the two dominant parties and political candidates tend to not mobilize members of the Asian American community (Lien, Conway, and Wong 2003; Lien, Conway, and Wong 2004; Wong 2008). In contrast, shared ethnicity and competitive co-ethnic candidates have mobilized many Latino voters (Barreto 2006). The 2000 and 2004 presidential elections also featured both major parties engaging in a stark competition for Latino voters (Garcia 2003; Segal 2004), with candidates relying on political advertisements specifically targeting Latinos more than general party advertisements (DeFrancesco Soto and Merolla 2006). Studies also find that naturalized Latino voters reinvigorate and bring a higher level of enthusiasm into the U.S. political system, as they are “politically baptized” in contexts where the stakes are higher (Barreto 2006; Ramirez 2002). Developing ways in which to suppress the Latino vote would give Republicans a partisan advantage in close elections. Immigrants – especially those who are framed as criminals – have become an easy target population that strategic politicians use to craft policies to achieve political goals (Schneider and Ingram 1993; Newton 2008). When Americans imagine a stereotypical 7 immigrant, studies suggest that they tend to envision a Latino (Burns and Gimpel 2000; Dunaway, Branton and Abrajano 2010; Gilliam and Iyengar 2000; Merolla, Ramakrishman and Haynes 2013) while visual cues involving “Latino-looking” people elicits restrictive attitudes among U.S. voters (Brader, Valentino and Suhay 2008). As such, attitudes toward immigrants of color, particularly Latino immigrants, should be more closely associated with beliefs about voter fraud. COMPETING EXPLANATIONS While we mainly argue that people’s anti-immigrant attitudes influence their beliefs about voter fraud in U.S. elections, there are other plausible explanations. Most of what we know about voter fraud beliefs is informed by broader attitudes about American government institutions and electoral outcomes. Following we discuss the dominant frameworks to explain voter fraud beliefs. Partisanship Partisanship should also be a strong predictor of public opinion about electoral integrity. The partisan nature of election reform debates is fueled by a common belief that voting restrictions will reduce voter turnout, thus helping Republican candidates and hurting Democratic candidates (Hasen 2012; Kropf and Kimball 2012). Studies show that Republicans and conservatives are more likely to support voting restrictions like photo ID and proof of citizenship laws than Democrats and liberals (Ansolabehere and Persily 2008). Thus, it is not a surprise that Republicans tend to believe that voter fraud is a more serious and frequent problem than Democrats (Wilson and Brewer 2013). It is also possible that Republicans genuinely care more about election fraud, as messages from political elites influence public confidence in elections (Vonnahme and Miller 2013). Voter fraud fears are pushed almost exclusively by conservatives and Republican elites (Dreier and Martin 2010; Hasen 2012) while liberal groups and Democratic Party elites spread concerns that voting restrictions may disenfranchise some voters (Atkeson, Adams and Alvarez 2014; Bowler and Donovan 2016; Hasen 2012). In addition, most voter restrictions are either enacted or introduced by 8 predominantly Republican-dominated state legislatures (Hicks et al. 2015). If partisans in the mass public internalize messages coming from respective party elites (Zaller 1992), then that may also explain the partisan divide in public concern about voter fraud, beyond partisan views toward immigration and immigrants. We expect that Republicans are more likely than Democrats and Independents to believe that voter fraud occurs frequently in U.S. elections (H2). Political Knowledge and Media Consumption Other research shows that only a subset of partisans would be familiar of elite debates concerning voter fraud and voter identification restrictions. Some findings indicate that conservative media outlets connect Republican ideological beliefs about elections with their estimates of voter fraud. Elite rhetoric about voter fraud concerns is more prominent on Fox News than other news sources (Dreier and Martin 2010), which suggests that people who watch Fox News are more likely to believe that voter fraud occurs very often, even after controlling for their partisanship (H3). Others find that education and political knowledge tend to reduce public concerns about election fraud (Wolak 2014; Gronke 2014). This would suggest that people with more political sophistication are less likely to believe that voter fraud occurs (H4). However, political knowledge may have different effects on partisans. Partisans who follow politics and know their party’s respective policy positions will also be likely to adopt their stereotypical party stance on voter fraud. Findings show that Democrats with low political knowledge are more likely to support voter restrictions that ask prospective voters to show their photo before casting a ballot (Udani forthcoming). Given the evidence on political knowledge, we expect that among partisans with higher political knowledge, Republicans are more likely than Democrats to believe that voter fraud occurs (H5). Racial Resentment and Identity Alternatively, people’s animus toward African Americans should also influence their beliefs about election integrity and voter fraud. Numerous studies indicate that attitudes toward African 9 Americans influence public support among whites for several different policies (Kinder and Sanders 1996; Mendelberg 2001; Tesler 2012). Political debates and campaigns often include symbols and phrases (such as “welfare queens”) that increase the salience of racial attitudes and associated emotions when people form opinions about issues of the day (Banks and Valentino 2012). Indeed, studies have provided evidence that racial resentment is a strong predictor of public support for voting restrictions (Wilson and Brewer 2013). Highly charged debates about voting restrictions in the United States include references to African Americans. For example, in the 2008 presidential election, the McCain-Palin campaign developed a web ad that accused Association of Community Organizations for Reform Now (ACORN) of conducting a fraudulent voter registration drive for then Senator Barack Obama. The public discourse surrounding voting fraud at the time became racialized by pundits reported that voter fraud occurred disproportionately in “urban” areas and scrutinized ACORN’s role of registering minority and poor voters. More recently, months before the 2012 election a member of the local board of elections and chairman of the Republican Party in Franklin County, Ohio, argued that voting procedures should not “accommodate the urban – read African American – voter-turnout machine” (Rowland 2012). As such, we also expect that people with higher racial resentment will also believe that voter fraud occurs (H6). Other studies suggest that the voting experience and the legacy of voter restrictions in U.S. elections should structure differing beliefs about voter fraud. Bowler and Donovan (2016, 346) argue that Democratic voters, especially people of color, are cognizant of their party’s dominant narrative that voter identification laws “degrade the integrity of elections by disproportionately affecting groups of voters known to affiliate with the Democratic Party.” In addition, poverty, status quo political arrangements, and interactions with law enforcement have disproportionately pushed people of color to the margins of the U.S. democracy and political candidate campaigns, cultivating political cynicism and resistance (Cohen and Dawson 1993; Rocha, Knoll and Wrinkle 2015; Weaver 10 and Lerman 2010). To this end, these findings suggest that people of color, and their pessimism toward a political system that has been unresponsive to their political voices, should be more cynical about the conduct of elections (H7). In addition, one’s identity as an American may influence optimism toward election administration. Studies suggest that those with high levels of national pride tend to offer more positive assessments of electoral integrity (Schildkraut 2011; Wolak 2014). To this end, we suspect that voter fraud beliefs will be lower among not only voters who are highly patriotic (H8), but also are native-born residents whose family were all born in the United States (H9). Electoral Integrity and Efficacy When registration and voting procedures operate smoothly the public is more likely to believe in the integrity of elections. Studies provide some evidence that public confidence in elections is shaped by the performance of election administrators at the state level (Bowler et al. 2015) and at the local level (Hall, Monson, and Patterson 2009; Gronke 2014). There is less evidence that state election laws influence public concerns about election integrity. For example, the adoption of photo ID requirements in several states does not appear to alleviate public concerns about voter fraud (Ansolabehere and Persily 2008; Bowler et al. 2015). These findings still suggest that public confidence in election administration should lower voter fraud beliefs (H10). Additionally, there is strong evidence of a sore loser phenomenon in voter fraud beliefs. That is, supporters of winning candidates (regardless of party) express more confidence in election integrity than supporters of losing candidates (Sances and Stewart 2014; Beaulieu 2014; Wolak 2014). We anticipate that Romney voters in 2012, for example, should be more likely than Obama voters to think that voter fraud occurs very frequently (H11). Lastly, voters with higher levels of political efficacy and trust in government tend to be more sanguine about election fraud in the United States (Gronke 2014; 11 Wolak 2014; Uscinski and Parent 2014). This suggests that such dispositions should lower voter fraud beliefs (H12). STUDY 1: VOTER FRAUD BELIEFS IN THE 2014 CCES In this study, our main objective is to test whether voter fraud beliefs are associated specifically with anti-immigrant attitudes while controlling for relevant political dispositions discussed above. We use survey data from a module of 1,000 respondents to the 2014 CCES. The survey was conducted online by YouGov and included a pre-election wave conducted before the November elections and a post-election wave fielded after the elections. To understand the deterimants of voter fraud beliefs, we collect data on respondents’ political attitudes and social characteristics before the election, and then measure their voter fraud beliefs after the election. Description of our variables is provided in the online appendix. Public perceptions about election fraud can be measured on several dimensions: (1) who is committing fraud – individual voters or election officials; (2) the frequency of fraudulent acts; and (3) the significance of fraudulent acts. We focus primarily on measures that ask respondents how frequently four different types of individual voter fraud occur in the United States, which were previously used in the Survey of the Performance of American Elections (Stewart 2013). These items, measured in the post-election wave, ask how frequently non-citizen voting, voter impersonation, double voting, and ballot tampering occur. We randomize the order of fraudulent activities that participants view. Our sample is similar to prior surveys in terms of baseline beliefs about voter fraud and support for photo ID laws (see Table A-1 in online appendix). Responses are coded from 1 to 4 with the most frequent category at the high end of the scale. An exploratory factor analysis of the four items reveals just one factor, with the item dealing with official vote tampering producing the weakest factor loading. Excluding vote tampering, the other three items form a reliable scale (α = 0.92). There is also relatively little variation in respondent beliefs about the 12 frequency of each type of voter fraud (see Table A-2 in online appendix). This suggests that people hold general beliefs about voter fraud and do not distinguish between different sources of voter fraud. Our voter fraud index is created by averaging the responses to each of the three items.1 Higher scores on the scale indicate beliefs that voter fraud occurs more frequently. To investigate whether animosity toward immigrants predicts beliefs about voter fraud, we create several measures of attitudes toward immigrants based on questions in the pre-election wave of the survey. We create a measure of immigrant resentment based on six questions that tap into dimensions involving cultural beliefs, group conflict, political influence, and different forms of resentment. To test the robustness of immigrant resentment, we also employ other indicators of negative attitudes toward immigrants. We measure affect towards illegal immigrants with a feeling thermometer and preference for unequal group relations with a social dominance orientation scale (α =0.79). Our immigrant resentment scale generates solid correlations with the thermometer rating of illegal immigrants (r = -0.44) and the social dominance index (r = 0.69). The components of the immigrant resentment scale are able to capture whether people believe immigrants increase crime and whether they deserve equal membership. In addition, the components measure perceived threats to American traditions, and fears about losing influence and standing in American politics. As such, we argue that as citizens have been socialized to think of voting and participating in elections as American civic traditions, we anticipate that the topic of fraudulent electoral practices will call to mind groups that are politically constructed as un-American and a concern about Anglo culture being changed by immigration. Further, we anticipate that voter fraud beliefs will be influenced by more than just affect and preference for unequal group relations. In predicting beliefs about voter fraud, we also measure relevant social and political dispositions from the pre-election module of the 2014 CCES. First, we create a black resentment 1 Bowler and Donovan (2016) also use these three items to construct a voter fraud scale. 13 scale (α = 0.75). Second, we create a patriotism scale using two questions on the importance of being an American and how good a person feels seeing the American flag (α = 0.86). Third, since elite rhetoric about voter fraud concerns is more prominent on Fox News (Dreier and Martin 2010), we measure how often participants watch Fox News. In addition, we also use five questions on type of media usage to gauge overall media consumption. We also control for income, education, party identification, political knowledge, age, sex, and race. Income is measured with 16 categories of family income ranging from having less than $10,000 to having more than $500,000. Education is measured with 6 categories of educational attainment ranging from having no high school degree to having a post-graduate degree. We use three dichotomous variables to delineate between Democrats, Independents, and Republicans. Political knowledge is measured with two questions asking participants whether they know which political party controls the U.S. House of Representatives and U.S. Senate (α = 0.80). We then use a set of dichotomous indicators to designate respondents who identify as female, black, Hispanic, Asian, Native American, Mixed, and Other. Because of a history of resisting the Voting Rights Act, we control for whether a respondent lives in the south as defined by the U.S. Census. Lastly, we measure generational differences with respondent age and generational status. The CCES allowed respondents to choose which of the following categories best describes them: immigrant citizens, immigrant non-citizens, first generation, second generation, and third generation. We use dichotomous indicators for each category, but exclude third generation. The base category in our statistical models of voter fraud beliefs consist of respondents who identify as white, male, Republican, and third generation Americans with low political knowledge, media exposure, income, education, racial resentment, immigrant resentment, and who does not live in the south. We code each independent variable to a 0-1 scale to measure the relative impact on the dependent variable. Results 14 Table 1 in the Appendix displays the OLS coefficients and robust standard errors from the separate models of voter fraud beliefs. We also plot point estimates with their 95% confidence intervals in Figure 1. Few indicators are consistently significant predictors of voter fraud. Respondents who live in the south are more likely than those who do not to believe that voter fraud occurs frequently. Most models provide strong evidence that political sophistication matters, as individuals with higher political knowledge and education have lower voter fraud beliefs. The results provide some evidence that nationalism strongly predicts voter fraud, but its directional effect is inconsistent with theoretical expectations. We find that higher levels of patriotism are significantly associated with more frequent voter fraud beliefs. Patriotism remains influential after controlling for partisanship, but the statistical significance of its coefficient washes away after introducing the resentment measures into models. [Insert Figure 1 About Here] Our results also provide evidence for partisan effects and the influence of conservative media outlets. Voter fraud beliefs are also significantly higher among people who watch Fox News than those who do not. The influence of Fox News, though, diminishes after resentment indicators are added to the model. The results from our models also show that Democrats are less likely than Republicans to believe that voter fraud occurs frequently. After controlling for black resentment, Democrats’ voter fraud beliefs are still significantly lower than Republicans. The size of the coefficient on the Democrat indicator is cut in half, suggesting that black resentment mediates the effect of partisanship on voter fraud beliefs. The effect of Democratic identifiers marginally diminishes after controlling for immigrant resentment, but maintains statistical significance at the .05 level. This suggests that partisan differences in voter fraud beliefs are partly mediated by racial attitudes and anti-immigrant attitudes. 15 We also obtain evidence that suggests that partisan cues play a role in shaping voter fraud beliefs. Developing interactions between political knowledge and party, we find that political knowledge moderates a partisan effect. Figure 2 provides the marginal effects of party on voter fraud beliefs across political knowledge. All other values are held at their mean or median values. The results show that partisan beliefs about voter fraud are indistinguishable at lower levels of political knowledge. However, increasing political knowledge polarizes partisan attitudes that reflect stereotypical stances on voter fraud. Among the politically knowledgeable, voter fraud beliefs are higher among Republicans than Democrats. [Insert Figure 2 About Here] Our results from Models 4 and 5 show that individuals with more racial animus toward African Americans are more likely to believe voter fraud occurs frequently. As our voter fraud beliefs scale has a range of four points, a change from low to high black resentment moves a person more than 25 percent of the way across the range of voter fraud beliefs in Model 4. We also find that black resentment has a relatively weaker effect in a model that includes our immigrant resentment scale. However, other statistical models that test interactions with black resentment provide some evidence that black resentment has a larger effect on the beliefs of Republicans than Democrats (-0.61, t=-1.89, p<0.59). Models with interactions with race also provide stronger evidence that black resentment has a larger effect on whites than Hispanic (b=-0.98, t=-1.70, p=0.09), Asian (b=-2.40, t=-5.58, p<0.001) and mixed-race (b=-1.07, t==2.12, p=0.03) identifiers. The results of our analysis provide strong evidence that Americans who are highly resentful of immigrants also tend to believe that voter fraud occurs frequently. Even after controlling for other relevant political dispositions, we find that immigrant resentment has the largest effect on voter fraud beliefs (see Figure 1). A one-unit increase in immigrant resentment is associated with a 0.96 increase in the voter fraud scale (t=4.80, p <0.001). To better visualize the impact of immigrant 16 resentment, we plot the marginal effects of immigrant resentment while holding all other indicators at their mean and median values (see Figure 3). A change from the minimum to maximum values of the immigrant resentment scale translates into a 48% shift along the full range of voter fraud beliefs. In substantive terms, this is equivalent to a person changing from believing voter fraud occurs infrequently to occasionally. The results do not provide any evidence for immigrant resentment as a moderator of party identification or race. [Insert Figure 3 About Here] Further analysis shows that immigrant resentment is a strong predictor of each item in the voter fraud beliefs scale (see Table 2 of Appendix). In each model, immigrant resentment has the largest effect size among all other predictors, including black resentment. Immigrant resentment has the strongest effect on believing that noncitizen voting occurs very frequently in U.S. elections (b = 3.10, t=5.57 p < 0.001). This is not a surprise, since non-citizen voting is the one type of voter fraud that specifically implicates immigrants. Yet, the results are also consistent with our main hypothesis and the implications of Garand, Xu, and Davis (2015): even when asked about forms of voter fraud that do not necessarily involve non-citizens, people with anti-immigrant attitudes are still more likely to believe that voter fraud occurs. As Trump continues to publicly claim that millions of illegal immigrant voters cost him the popular vote, it raises another empirical question: are voter fraud beliefs associated with negative attitudes toward particular immigrants? To answer this question, we leverage a question wording experiment that we conducted in a survey module of 1,000 respondents in the 2014 CCES. All respondents were asked to use a thermometer rating to indicate how cold (0) or warm (100) they feel about Irish immigrants. Then, respondents were randomly assigned one of three group thermometer rating questions on African, Chinese, and Mexican immigrants. Measuring attitudes toward Irish immigrants creates a useful baseline against which to compare the effects of the other immigrant 17 groups. We then examine the association between the different immigrant group ratings and voter fraud beliefs while controlling for other competing explanatory variables proposed in this study. We provide the results of our regression models with immigrant group thermometer ratings as predictors in our online appendix (see Table A-7). We find that feelings toward Irish immigrants are unrelated to beliefs about voter fraud. In contrast, when asked about the other immigrant groups, people with colder feelings toward those groups are more inclined to think that voter fraud occurs very frequently. Our findings further show that voter fraud beliefs are significantly higher among people with less receptive views toward illegal immigrants, specifically Mexicans (b = -0.34, t=-2.06, p = 0.041). This suggests that voter restrictions, which depress turnout among voters of color (Hajnal et al. 2015), are being mobilized by tapping into public animosity toward immigrants of color. [Insert Figure 4 About Here] STUDY 2: ELECTION INTEGRITY MEASURES IN THE 2012 ANES We have two main objectives in our second study. First, we build upon our first study showing that voter fraud beliefs extend beyond racial animus to immigration concerns, using different measures of election fraud beliefs. Second, we aim to further show that immigrant animosity biases a person’s perception of election integrity even after controlling for many covariates, including general orientations toward the political system and “sore loser” feelings from the 2012 November elections. To this end, we further test our hypotheses using the 2012 American National Election Study (ANES) data. We again provide a more detailed explanation of our measures in the online appendix. The 2012 ANES Time Series Study includes questions in the postelection wave that ask how often in our country “votes are counted fairly” and “election officials are fair.” We focus on these two items as dependent variables because they come closest to the election fraud allegations that frequently appear in election reform debates in the United States. We code 18 both variables so that higher scores indicate a stronger belief that elections are fraudulent. Less than one-third of respondents believe that votes are counted fairly “very often,” and less than one-quarter believe that election officials are fair “very often.” We examine two measures of hostility to immigrants as our primary independent variable of interest. One is an anti-immigration scale based on responses to six ANES questions on immigration. Each item was recoded to a 0-1 scale, with higher values indicating greater antipathy toward immigrants, and the six variables were averaged together to form an anti-immigration scale (α = 0.75). We also create an ethnocentrism scale based on stereotype questions that ask the degree to which particular groups (Whites, Blacks, Hispanics, and Asians) are “hard working” and “intelligent.” Following the method used by Kam and Kinder (2012, 328), the average rating for outgroup members is subtracted from the in-group rating on each trait. Then the two trait comparison measures are averaged together to create an ethnocentrism scale (α = 0.69). Higher scores indicate greater hostility to racial and ethnic out-groups. We expect ethnocentrism and anti-immigration attitudes to be positively associated with the election integrity variables. We also control for similar partisan and ideological predispositions that we use in the 2014 CCES analysis. Both variables are coded so that we expect them to be positively associated with the electoral integrity measures. In addition, we control for racial resentment by developing a scale with four questions that ask about the status of blacks in American society (α = 0.80). Higher values indicate higher levels of racial resentment, so we expect it to be positively associated with beliefs about election fraud. We also utilize the richness of ANES surveys to control for other dispositions that we were unable to include in our CCES module. First, we control for electoral surprise, the inclination of election losers, particularly unexpected losers, to grasp at poorly sourced claims of voter fraud (Beaulieu 2014; Wolak 2014). To test this hypothesis, we create a dummy variable for respondents in 19 the pre-election wave of the survey who correctly predicted that President Obama would win reelection in 2012. This measure should be negatively associated with beliefs about voter fraud. Second, those with higher levels of patriotism and confidence in government should also be more confident in the fairness of elections (Wolak 2014). We combine four questions about government corruption and waste to measure trust in government (α= 0.63). Higher values indicate more trust in government. We measure patriotism with three items. We expect patriotism and trust to be negatively associated with beliefs about election fraud. The ANES data include a bevy of media exposure measures as well. Many ask which newspapers, web sites, and radio and television programs respondents follow regularly. We compute the average of 19 of these questions measuring exposure to conservative media sources to create a conservative media consumption scale (α= 0.86). Similarly, we combined 19 items for liberal sources into a liberal media consumption scale (α= 0.77). We control for general media consumption with a separate set of questions that ask respondents how frequently they read a newspaper, watch TV news, or get news from radio shows or web sites. Additionally, we include external efficacy and voter turnout as additional independent variables, since actual participation and efficacy should predict more positive assessments of election integrity. Turnout is a dummy variable indicating whether the respondent reported voting in the 2012 election. We measure external efficacy by combining two items that ask respondents whether government official care about their interests and whether they have a say over what government does (α= 0.65). Both variables are coded in a way that we expect them to be negatively associated with beliefs about election fraud. Fourth, we include a dummy variable for battleground states to test whether exposure to the heaviest competition in the presidential campaign produces more positive assessments of electoral fairness (Wolak 2014). Lastly, we test the election administration hypothesis using data from a recent initiative that rates each state’s administration of elections based on several 20 indicators (Pew Charitable Trusts 2016). We use the summary rating, the Election Performance Index (EPI), as a measure of state election administration in 2012. Higher scores indicate better performance, so we expect EPI to be negatively associated with our election integrity measures. The 2012 ANES is a mixed-mode survey, with some respondents carrying out the survey via traditional face-to-face interviews and others completing the survey online. There is some indication that interviewer-administered surveys are more prone to social desirability effects, producing more positive assessments of government and elections (Atkeson, Adams, and Alvarez 2014). Internet surveys tend to generate more negative assessments and may also yield more pessimistic evaluations of electoral integrity. We include a dummy variable for the Internet mode to test this hypothesis. Finally, we include controls for political knowledge, education, income, race, and ethnicity. Since our dependent variables are ordinal measures we estimate an ordered logit model to examine the predictors of beliefs about electoral integrity. Each of the independent variables except for the Electoral Performance Index are scored on a 0-1 interval. For each dependent variable we estimate one model with anti-immigration attitudes as our main predictor of interest and a second model with ethnocentrism as the chief independent variable. Results Table A-6 in the appendix provides the results from models of election integrity ratings in the United States. Our results provide additional evidence of a strong relationship between antiimmigrant attitudes and measures of electoral fraud beliefs. Anti-immigration attitudes and ethnocentrism are potent predictors of electoral integrity beliefs, even after controlling for a host of other factors. A one-standard deviation increase in the anti-immigration scale increases the odds of negative evaluations by 22 percent on the “votes counted fairly” measure and by 21 percent on the “election officials are fair” measure. The ethnocentrism scale yields a somewhat weaker but statistically significant relationship with election integrity evaluations (14 percent and 19 percent, 21 respectively). Additionally, we find a stronger impact of ethnocentrism and anti-immigration attitudes on voter fraud beliefs when the sample is restricted to non-Hispanic Whites. Among the other independent variables, only political knowledge and trust in government produce stronger associations with beliefs about electoral integrity. Consistent with previous studies, we find that perceptions of election integrity are influenced by broader pessimism toward government, mainstream politics, and election administration. Individuals with less patriotism and trust in government are less likely to believe that votes are counted fairly and election officials act fairly. We also find that people who did not vote in the 2012 elections and have lower political efficacy are more likely to produce negative evaluations of election fairness. Finally, the results indicate that negative assessments of fair elections are more prominent among people who live in battleground states than those living non-battleground states. These findings are telling, since the one objective measure of election performance (EPI) is not significantly related to beliefs about election fairness.2 Leveraging the oversampling of racial minorities in the 2012 ANES, we are able to examine the election integrity ratings of non-Hispanic blacks and Hispanics. We show that African Americans tend to report less positive evaluations of elections than white Americans. However, when we interact immigrant resentment with race our results demonstrate that any effect of antiimmigration attitudes on voter fraud beliefs seems to be located primarily among non-Hispanic white respondents. In Figures 5 and 6, we plot the predicted probability of election integrity evaluations across group-based attitudes segmented by race. Generally, an increase in anti-immigrant attitudes decreases the probability of holding positive evaluations of elections. Among individuals with lower anti-immigration attitudes, white respondents are more optimistic about election integrity 2 When we control for other state performance measures, such as the frequency of registration and absentee voting problems, we also find little to no relationship with public beliefs about election integrity. 22 than black and Hispanic respondents. Yet, an increase in anti-immigrant attitudes has a larger effect in diminishing optimism among whites than racial and ethnic minorities. Thus, white Americans with strong anti-immigrant attitudes tend hold negative assessments of election integrity on par with black and Hispanic Americans. Ethnocentrism has a similar large and negative effect on the election fraud beliefs of whites, shown in Figure 6. Figure 6 also illustrates that blacks and Hispanics who believe that whites are less intelligent and lazier than racial minorities are less likely to hold positive assessments of election integrity. However, as they subscribe to the stereotype of white superiority, blacks tend to give generally more positive evaluations of elections while Hispanics tend to believe that votes are counted fairly very often. [Insert Figure 5 About Here] [Insert Figure 6 About Here] As with our CCES study, controlling for group-based attitudes and other political orientations seems to leave little room for partisanship and ideology to explain much variation in voter fraud beliefs. Changing the coding of party identification to nominal categories, or removing ideology from the equation, does not improve partisanship’s explanatory power. Our evidence suggests that group-based attitudes account for some of the partisan differences in public beliefs about voter fraud. We again find that exposure to conservative media outlets is associated with more negative assessments of election integrity. Meanwhile, after controlling for immigration attitudes we fail to find evidence that racial resentment is associated with beliefs about election integrity. It appears that broader indicators of out-group hostility (i.e. ethnocentrism) more reliably predict electoral integrity evaluations than the more narrowly tailored racial resentment measure. Racial resentment studies have demonstrated that if African Americans are disproportionately targeted by a policy and become central to public discourse on the enforcement of such a policy, then public support for the policy tends to be shaped 23 by racial or black resentment. Due to the history of African-American disenfranchisement in the United States, we do not expect people’s racial resentment to wash away in models of voter fraud beliefs once they account for a person’s resentment of another racial or ethnic group. Rather, we argue that voter fraud beliefs are context-specific, in which the public are more influenced by the threat of newer voters coming into the electorate. Our theory posits that as more elites rely on negative stereotypes of immigrants when discussing voter fraud and the need for voter restrictions, then people’s anti-immigrant attitudes will be elicited more than their antipathy toward African Americans when they evaluate proposed voting restrictions. Nevertheless, as voter ID critics such as the NAACP and Attorney General Eric Holder have linked current voter restrictions to Jim Crow laws, we also expect that some groups’ voter fraud beliefs will be informed more by their attitudes toward African Americans than their attitudes toward immigrants. CONCLUSION Across two studies, we present strong evidence that group-centric attitudes toward immigrants are associated with public beliefs about voter fraud. Using data from the 2014 CCES, we show that immigrant resentment is a strong predictor of voter fraud beliefs. Using the 2012 ANES data, we find that the effects of anti-immigration and ethnocentric attitudes remain robust across different measures of election administration integrity. Both studies indicate immigration concerns are associated with election integrity beliefs above and beyond the impact of traditional political dispositions involving party, ideology, election administration, and racial animus. We believe these findings are due to three reinforcing conditions in American politics currently: (1) relatively high levels of immigration, (2) political rhetoric that frequently frames immigrants as deviant and undeserving, and (3) elite claims that link immigration and voter fraud in public opinion. While we test these ideas in the United States, we believe that immigration attitudes may shape voter fraud beliefs in other countries where politics are roiled by immigration anxieties. 24 Our findings suggest that hostility toward immigrants is a reliable predictor of concerns about voter fraud and thus a likely source of public support for restrictive laws such as photo ID and proof of citizenship requirements for voters. This is likely the product of political rhetoric that frequently links immigration, race and voter fraud, sometimes in a hyperbolic manner. Furthermore, debates about proposed voting restrictions often focus on the anticipated impact of those policies on minority groups. Thus, in a “group-centric” polity it should not be surprising that public beliefs and policy preferences in the election law domain are shaped by public attitudes toward minority groups. The results are consistent with studies that show that racial animus structures voter fraud beliefs (Wilson and Brewer 2013). Yet, our findings from the CCES also suggest that such conclusions about black resentment are incomplete. That is, black resentment has a significant and large effect, but only when immigrant resentment is not included in statistical models of voter fraud beliefs. Findings from the ANES show that black resentment fails to reach statistical significance in models of public election integrity attitudes, which include immigrant resentment (see Table 4). We argue that these findings are largely attributed to the immigrant resentment scale capturing various attitudes on whether immigrants increase crime, disrupt social and political norms, are undeserving American members, and decrease the political influence of white Americans. These attitudes are not measured in the black resentment scale, but are likely called to mind when respondents are asked about how often people commit voter fraud. In response to calls to use attitudes toward immigrants as explanatory variables (Hainmueller and Hopkins 2014), our findings provide evidence that immigrant resentment is a strong and reliable predictor of other attitudes concerning American political membership. While immigrant anxiety increases trust in certain political actors, primarily Republican leaders (Albertson and Gadarian 2015), we find that immigrant resentment is associated with lower levels of trust in the integrity of 25 American elections. We also find significant relationships between measures of media exposure and political knowledge and voter fraud beliefs. These findings also suggest that elite rhetoric might provoke Americans’ pessimistic beliefs about election fraud. We are aware that two national sample surveys are not ideal for making causal inferences and do not provide the last word on this topic. Nevertheless, this study advances our understanding of voter fraud beliefs. The gap in political science scholarship on voter fraud beliefs is due in part to a dearth of survey instruments that include questions about restrictive voting policies, perceptions of voter fraud, and attitudes toward immigrants all in the same survey. As such, prior studies produced indirect analyses by using less reliable and valid demographic indicators of Latino or foreign-born population growth as approximations of the threat or animosity that native-born feel toward immigrants. The role of animosity toward racial and ethnic minorities is underappreciated in scholarship on public opinion about election fraud and voting reforms. Much of the existing literature emphasizes partisan and ideological divisions among the electorate on photo ID laws, for example, largely reflecting clear partisan divisions among elites on these issues. The partisan and ideological differences are real, but photo ID and proof of citizenship requirements enjoy majority support among all political stripes in the United States. Widespread support for these policies, and heightened concerns about voter fraud, appear to be nourished by a reservoir of hostility toward racial and ethnic minorities. Animosity toward immigrants may solidify public support for measures to restrict participation of eligible voters in democratic elections. This is troubling, given that legislators and courts lean heavily on public concerns about voter fraud as justification for new election laws. These prejudices may extend to election officials themselves. A recent study (White, Nathan and Faller 2015) finds that Latino voters receive less assistance from local election officials 26 than white voters. In any case, the topic of fraudulent voting practices will likely continue to provoke voters to call to mind groups that are politically constructed as “un-American.” References Abrajano, Marisa, and Zoltan L. Hajnal. 2015. White backlash: immigration, race, and American politics. Princeton: Princeton University Press. Ahlquist, John S., Kenneth R. Mayer, and Simon Jackman. 2014. “Alien Abduction and Voter Impersonation in the 2012 U.S. General Election: Evidence from a Survey List Experiment." Election Law Journal 36:460-475. Albertson, Bethany, and Shana Kushner Gadarian. 2015. Anxious Politics: Democratic Citizenship in a Threatening World. New York: Cambridge University Press. Ansolabehere, Stephen, and Nathaniel Persily. 2008. “Vote Fraud in the Eye of the Beholder: The Role of Public Opinion in the Challenge to Voter Identification Requirements.” Harvard Law Review 121:1737-1774. Ansolabehere, Stephen, Samantha Luks, and Brian F. Schaffner. 2015. "The perils of cherry picking low frequency events in large sample surveys." Electoral Studies 40: 409-410. Atkeson, Lonna Rae, Alex N. Adams, and R. Michael Alvarez. 2014. "Nonresponse and mode effects in self-and interviewer-administered surveys." Political Analysis 22(3): 304-20. Banks, Antoine J., and Nicholas A. Valentino. 2012. “Emotional Substrates of White Racial Attitudes.” American Journal of Political Science 56:286-297. Barreto, Matt A., and Stephen A. Nuño. 2011. "The effectiveness of coethnic contact on Latino political recruitment." Political Research Quarterly 64(2): 448-459. Barreto, Matt. 2006. ¡Sí Se Puede! Latino Candidates and the Mobilization of Latino Voters. American Political Science Review 101(3): 425-41. Barreto, Matt A., Stephen A. Nuño, and Gabriel R. Sanchez. 2009. “The Disproportionate Impact of Voter-ID Requirements on the Electorate – New Evidence from Indiana.” PS: Political Science & Politics 111-116. Beaulieu, Emily. 2014. “From Voter ID to Party ID: How Political Parties Affect Perceptions of Election Fraud in the US.” Electoral Studies 35:24-32. Bentele, Keith G., and Erin E. O’Brien. 2013. “Jim Crow 2.0? Why States Consider and Adopt Restrictive Voter Access Policies.” Perspectives on Politics 11:1088-1116. Bowler, Shaun, and Todd Donovan. 2016. “A partisan model of electoral reform: Voter identification laws and confidence in state elections.” State Politics & Policy Quarterly 16:340-361. 27 Bowler, Shaun, Thomas Brunell, Todd Donovan, and Paul Gronke. 2015. "Election administration and perceptions of fair elections." Electoral Studies 38: 1-9. Brader, Ted, Nicholas A. Valentino, and Elizabeth Suhay. 2008. “What Triggers Public Opposition to Immigration? Anxiety, Group Cues, and Immigration Threat.” American Journal of Political Science 52:959-978. Burns, Peter, and James G. Gimpel. 2000. "Economic insecurity, prejudicial stereotypes, and public opinion on immigration policy." Political science quarterly 115(2): 201-225. Cohen, Cathy J., and Michael C. Dawson. 1993. "Neighborhood Poverty and African American Politics." American Political Science Review 87(02): 286-302. Cain, B. E., Kiewiet, D., & Uhlaner, C. (1991). The acquisition of partisanship by Latinos and Asian Americans. American Journal of Political Science 35:390-422. Christensen, Ray, and Thomas J. Schultz. 2014. “Identifying Election Fraud Using Orphan and Low Propensity Voters.” American Politics Research 42:311-337. DeSipio, L. (1996). Counting on the Latino vote: Latinos as a new electorate. Charlottesville: University of Virginia Press. Dreier, Peter, and Christopher R. Martin. 2010. “How ACORN was Framed: Political Controversy and Media Agenda Setting.” Perspectives on Politics 8:761-792. Fogarty, Brian, Jessica Curtis, P. Frances Gouzien, David C. Kimball, and Eric Vorst. 2015. “News Attention to Voter Fraud in the 2008 & 2012 U.S. Elections.” Research & Politics 2(2):1-8. Garand, James C., Ping Xu, and Belinda C. Davis. 2015. “Immigration Attitudes and Support for the Welfare State in the American Mass Public.” American Journal of Political Science 1-17. Garcia, J. A. (2003). Latino politics in America: Community, culture, & interests. Maryland: Rowman & Little. Gilliam, Frank D., Jr., and Shanto Iyengar. 2000. “Prime Suspects: The Influence of Television News on the Viewing Public.” American Journal of Political Science 44(3): 560– 73. Gronke, Paul. 2014. “Voter Confidence as a Metric of Election Performance.” In The Measure of American Elections, Barry C. Burden and Charles Stewart, III, eds. New York: Cambridge University Press. Hainmueller, Jens, and Daniel J. Hopkins. 2014. "Public attitudes toward immigration." Annual Review of Political Science 17(1): 225-49. Hajnal, Zoltan, Nazita Lajevardi, and Lindsay Nielson. 2017. “Voter identification laws and the suppression of minority votes.” Journal of Politics forthcoming. 28 Hall, Thad E., J. Quin Monson, and Kelly D. Patterson. 2009. "The Human Dimension of Elections How Poll Workers Shape Public Confidence in Elections." Political Research Quarterly 62(3): 507-522. Hasen, Richard. 2012. The Voting Wars. New Haven, CT: Yale University Press. Haynes, Chris, Jennifer Merolla, and S. Karthick Ramakrishnan. 2016. Framing Immigrants: News Coverage, Public Opinion, and Policy. New York: Russell Sage. Hero, R., & Tolbert, C. (2001). Dealing with diversity: Racial/ethnic context and social policy change. Political Research Quarterly 54(3):571-604. Hicks, William D. Seth C. McKee, Mitchell D. Sellers, and Daniel A. Smith. 2015. “A principle or a strategy? Voter identification laws and partisan competition in the American states.” Political Research Quarterly 68:18-33. House, Billy, and Steven T. Dennis. 2017. “Trump says undocumented immigrants cost him popular vote.” Bloomberg, January 24 (https://www.bloomberg.com/politics/articles/2017-01-24/trumpagain-claims-undocumented-immigrants-cost-him-popular-vote). Kahn, Natasha, and Corbin Carson. 2012. News21, August 12 (accessed at http://votingrights.news21.com/article/election-fraud/). Kam, Cindy D., and Donald R. Kinder. 2012. “Ethnocentrism as a short-term force in the 2008 American presidential election.” American Journal of Political Science 56:326-340. Kinder, Donald R., and Cindy D. Kam. 2009. Us Against Them. Chicago: University of Chicago Press. Kinder, Donald R., and Lynn M. Sanders. 1996. Divided by color: Racial politics and democratic ideals. Chicago: University of Chicago Press. Knoll, Benjamin R., and Jordan Shewmaker. 2015. “’Simply un-American’: Nativism and Support for Health Care Reform.” Political Behavior 37:87-108. Kobach, Kris W. 2015. Testimony before the United States House of Representatives, Committee on Oversight and Government Reform. February 12 (https://oversight.house.gov/wpcontent/uploads/2015/02/Kobach-Testimony-House-OGR-21215.pdf). Kropf, Martha, and David C. Kimball. 2012. Helping America Vote: The Limits of Election Reform. New York: Routledge. Lee, Taeku. 2016. “Asian Americans in the 2015 Election.” Asian American Decisions. Seattle, WA. Retrieved at: http://asianamericandecisions.com/2016/10/26/asian-american-voters-in-the-2016election/ Lien, Pei‐te, M. Margaret Conway, and Janelle Wong. 2003. "The contours and sources of ethnic identity choices among Asian Americans." Social Science Quarterly 84(2): 461-481. 29 Lien, Pei-te, M. Margaret Conway, and Janelle Wong. 2004. The politics of Asian Americans: Diversity and community. New York, NY: Routledge. Levitt, Justin. 2014. “A comprehensive investigation of voter impersonation finds 31 credible incidents out of one billion ballots cast.” Washington Post, August 6 (accessed at http://www.washingtonpost.com/blogs/wonkblog/wp/2014/08/06/a-comprehensiveinvestigation-of-voter-impersonation-finds-31-credible-incidents-out-of-one-billion-ballots-cast/. Mendelberg, Tali. 2001. The Race Card: Campaign Strategy, Implicit Messages, and the Norm of Equality. Princeton, NJ: Princeton University Press. Minnite, Lorraine. 2010. The Myth of Voter Fraud. Ithaca, NY: Cornell University Press. Nelson, Thomas, and Donald R. Kinder. 1996. “Issue Frames and Group-Centrism in American Public Opinion.” Journal of Politics 58:1055-1078. Nuño, Stephen A. 2007. "Latino mobilization and vote choice in the 2000 presidential election." American Politics Research 35(2): 273-293. Pantoja, A. D., Ramírez, R., & Segura, G. (2001). Citizens by choice, voters by necessity: Patterns in political mobilization by naturalized Latinos. Political Research Quarterly 54(4):729-750. Pew Charitable Trusts. 2016. Elections Performance Index, August 9 (http://www.pewtrusts.org/en/multimedia/data-visualizations/2014/elections-performance-index). Ramírez, Ricardo. 2002. The changing landscape of California politics, 1990-2000. Unpublished doctoral dissertation, Stanford University, Palo Alto, CA. Rocha, Rene R., Benjamin R. Knoll, and Robert D. Wrinkle. 2015. "Immigration Enforcement and the Redistribution of Political Trust." The Journal of Politics 77(4): 901-913. Rowland, Darrel. 2012. “Voting in Ohio: Fight over Poll Hours isn’t Just Political.” Columbus Dispatch, August 19 (accessed at http://www.dispatch.com/content/stories/local/2012/08/19/fight-over-poll-hours-isnt-justpolitical.html). Sances, Michael W., and Charles Stewart. 2014. "Partisanship and confidence in the vote count: Evidence from US National Elections since 2000." Electoral Studies 40: 176-188. Schildkraut, Deborah J. 2011. Americanism in the Twenty-First Century: Public Opinion in the Age of Immigration. New York: Cambridge University Press. Schneider, Anne, and Helen Ingram.1993. "Social construction of target populations: Implications for politics and policy." American political science review 87(02): 334-347. Segal, A. 2004. Bikini politics: The 2004 Presidential campaigns’ Hispanic Media Efforts Cover Only the Essential Parts of the Body Politic. Interim Report, Hispanic Voter Project Report. September. Washington: John Hopkins University 30 Segura, G. M., Falcon, D., & Pachon, H. (1997). Dynamic of Latino partisanship in California: Immigration, issue salience, and their implications. Harvard Journal of Hispanic Politics 10:62-80. Stewart, Charles. 2013. "2012 Survey of the Performance of American Elections", http://hdl.handle.net/1902.1/21624 UNF:5:nMKNqnHfGzpAilhPJPvE8g== V2 [Version] Tate, Katherine. 1991. “Black Political Participation in the 1984 and 1988 Presidential Elections.” American Political Science Review 85: 1159–76. Tesler, Michael. 2012. “The Spillover of Racialization into Health Care: How President Obama Polarized Public Opinion by Racial Attitudes and Race.” American Journal of Political Science 56:690704. Udani, Adriano. forthcoming. “Postponing the Day of Reckoning? Examining Contextual Effects on Public Support for Voter Identification Policies.” Social Science Quarterly. Uscinski, Joseph E., and Joseph M. Parent. 2014. American conspiracy theories. Oxford: Oxford University Press. Vonnahme, Greg, and Beth Miller. 2013. “Candidate Cues and Voter Confidence in American Elections.” Journal of Elections, Public Opinion and Parties. 23:223-239. Weaver, Vesla M., and Amy E. Lerman. 2010. "Political consequences of the carceral state." American Political Science Review 104(04): 817-833. White, Ariel R., Noah L. Nathan, and Julie K. Faller. 2015. “What do I Need to Vote? Bureaucratic Discretion and Discrimination by Local Election Officials.” American Political Science Review. Wilson, David C., and Paul R. Brewer. 2013. “The Foundations of Public Opinion on Voter ID Laws: Political Predispositions, Racial Resentment, and Information Effects.” Public Opinion Quarterly 77:962-984. Wolak, Jennifer. 2014. “How Campaigns Promote the Legitimacy of Elections.” Electoral Studies 34:205-215. Wong, Janelle. 2008. Democracy's promise: Immigrants and American civic institutions. Ann Arbor, MI: University of Michigan Press. Wong, Janelle S. "Mobilizing Asian American voters: A field experiment." The Annals of the American Academy of Political and Social Science 601, no. 1 (2005): 102-114. Zaller, John R. 1992. The Nature and Origins of Mass Opinion. New York: Cambridge University Press. 31 32 33 34 35 36 37 APPENDIX Media Consumption Pol. knowl. Family income Education Age Female Black Hispanic Asian NativeAmerican Mixed Other Nationalism Immigrant citizen Immigrant non-citizen First generation Second generation Live in South Fox News Democrat Table 1. Results from Main Models of Voter Fraud (1) (2) (3) (4) coef. (s.e.) coef. (s.e.) coef. (s.e.) coef. (s.e.) (5) coef. (s.e.) 0.08 (0.16) -0.17 (0.15) -0.02 (0.15) 0.04 (0.15) -0.23 0.25 -0.38 0.11 0.05 -0.10 -0.23 -0.44 (0.11)* (0.25) (0.18)* (0.18) (0.09) (0.15) (0.19) (0.22)* -0.31 (0.11)** 0.31 (0.22) -0.30 (0.17) -0.01 (0.17) 0.10 (0.08) -0.25 (0.14) -0.23 (0.17) -0.53 (0.24)* -0.29 (0.11)** 0.23 (0.22) -0.38 (0.16)* 0.12 (0.17) 0.12 (0.08) -0.04 (0.15) -0.10 (0.19) -0.44 (0.26) -0.23 0.16 -0.30 0.11 0.09 0.13 -0.03 -0.51 0.84 (0.22)*** 0.75 (0.31)* 0.59 (0.30)* 0.38 (0.27) 0.38 (0.27) -0.16 (0.24) 0.32 (0.51) 0.87 (0.16)*** -0.09 (0.20) 0.04 (0.50) 0.49 (0.16)** -0.04 (0.15) 0.02 (0.43) 0.35 (0.17)* -0.04 (0.19) -0.06 (0.40) 0.03 (0.17) 0.03 (0.18) -0.06 (0.41) -0.04 (0.17) 0.03 (0.17) -0.07 (0.18) -0.01 (0.19) 0.01 (0.18) -0.03 (0.18) 0.46 (0.19)* 0.28 (0.16) 0.35 (0.20) 0.28 (0.25) 0.23 (0.23) 0.14 (0.14) 0.04 (0.11) 0.06 (0.12) 0.11 (0.13) 0.18 (0.13) 0.08 (0.10) 0.14 (0.09) 0.12 (0.09) 0.14 (0.08) 0.14 (0.08) 0.24 (0.09)* 0.20 (0.09)* 0.99 (0.11)*** 0.22 (0.09)* 0.79 (0.13)*** -0.52 (0.10)*** -0.10 (0.14) 0.22 (0.08)** 0.67 (0.13)*** 0.19 (0.08)* 0.60 (0.12)*** -0.25 (0.10)* -0.22 (0.09)* 0.03 (0.15) (0.10)* (0.20) (0.13)* (0.16) (0.08) (0.15) (0.20) (0.29) -0.19 0.24 -0.27 0.01 0.09 0.13 -0.01 -0.49 (0.10) (0.19) (0.13)* (0.16) (0.07) (0.15) (0.19) (0.26) Independent -0.03 (0.13) -0.00 (0.13) Black 1.06 (0.15)*** 0.75 (0.16)*** Resentment Immigrant 0.92 (0.20)*** Resentment _cons 1.85 (0.19)*** 1.88 (0.18)*** 2.20 (0.20)*** 1.62 (0.21)*** 1.40 (0.21)*** 2 R 0.124 0.251 0.308 0.379 0.406 adj. R2 0.103 0.232 0.288 0.360 0.387 N 777 767 740 740 740 Source: 2015 CCES. Note. Standard errors in parentheses. All indicators rescaled 0 to 1. Coefficients obtained using OLS Regression. Two-tailed: * p < 0.05, ** p < 0.01, *** p < 0.001 38 Table 2. Results from Model of Voter Fraud Beliefs Scale Components Voting More Someone Noncitizen Than Once Else Voting coef. (s.e.) coef. (s.e.) coef. (s.e.) Immigrant Resentment 1.75 (0.53)*** 1.84 (0.48)*** 3.10 (0.56)*** Black Resentment 1.57 (0.47)*** 1.50 (0.39)*** 1.84 (0.44)*** Democrat -0.46 (0.26) -0.47 (0.25) -0.47 (0.23)* Independent -0.02 (0.34) -0.03 (0.31) 0.05 (0.31) *** *** Fox News 1.42 (0.33) 1.31 (0.31) 1.35 (0.34)*** Media Consumption 0.44 (0.41) -0.12 (0.42) 0.06 (0.41) Political Knowledge -0.58 (0.25)* -0.61 (0.24)* -0.35 (0.26) Family Income 0.57 (0.53) 0.36 (0.47) 1.02 (0.54) Education -0.71 (0.36) -0.59 (0.32) -0.72 (0.35)* Age -0.15 (0.45) 0.03 (0.41) 0.07 (0.44) Female 0.12 (0.19) 0.22 (0.19) 0.30 (0.19) Black 0.20 (0.35) 0.55 (0.43) 0.65 (0.44) Hispanic 0.29 (0.50) 0.31 (0.46) -0.25 (0.48) -0.42 (0.74) -1.30 (0.73) Asian -1.24 (0.61)* Native-American 0.99 (0.71) 0.68 (1.26) 0.88 (0.61) Mixed 0.17 (0.76) 0.22 (0.47) -0.13 (0.56) Other -0.46 (1.08) 0.25 (1.06) 0.17 (1.12) Nationalism 0.15 (0.51) -0.12 (0.37) 0.07 (0.49) Immigrant Citizen 0.08 (0.44) -0.13 (0.50) -0.18 (0.43) Immigrant Non-Citizen 0.72 (1.38) 0.70 (0.30)* 0.34 (0.35) First Generation 0.14 (0.37) 0.55 (0.34) 0.23 (0.32) Second Generation 0.24 (0.22) 0.43 (0.20)* 0.29 (0.22) _cut1 0.74 (0.60) 0.22 (0.59) 1.38 (0.61)* _cut2 2.34 (0.61)*** 1.85 (0.60)** 2.96 (0.62)*** *** *** _cut3 4.34 (0.61) 3.95 (0.60) 5.02 (0.63)*** N 740 739 737 Source: 2015 CCES. Note. Standard errors in parentheses. All indicators rescaled 0 to 1. Logit coefficients are given, with positive coefficients indicating a belief of voter fraud occurring very often. Reesults obtained using ordinal logistic regression. Two-tailed: * p < 0.05, ** p < 0.01, *** p < 0.001 39