Deceiving citizens is typically considered the main political motive behind the spread of fake news. Accordingly, strategies to debunk fake news, such as fact-checking, have been suggested to combat it. However, the spread of fake news persists despite these debunking strategies. We propose an alternative but underexplored motive behind the spread of fake news: Fake news aims not only to deceive citizens but also to induce media skepticism. To support our claim, we present a stylized formal model of media skepticism and demonstrate that the incentive to spread fake news persists even if citizens are not deceived by disinformation coming from fake news. Our model highlights the dilemma embedded in fact-checking.

Analyses of US panel surveys from 1992 to 1996 have found extremity in political values was associated with increased affective polarization, but that affective polarization was not associated with changes in value extremity during this period (Enders and Lupton, 2021). This note reevaluates the relationships between political value extremity and affective polarization using a 2016–2020 panel survey. Replicating Enders and Lupton's analytical procedures as closely as possible with this more recent sample, I find value extremity is sometimes associated with increased affective polarization. In contrast to Enders and Lupton (2021), however, affective polarization is strongly associated with increased value extremity between 2016 and 2020. These findings suggest that the relationships between political values and affective polarization may have changed since the 1990s, and that values are now influenced by Americans' evaluations of salient political objects, such as parties, presidential candidates, and ideological groups.

A growing body of evidence indicates the public is less committed to democracy than conventional wisdom long held. One possibility is that many in the public have internalized the norm that democracy is “good” but that such support is not firmly held. An implication of this reasoning is that because there is an expectation to express support for democracy, responses will be influenced by the presence of an interviewer due to social desirability effects. In this note, we examine the 2012 and 2016 American National Election Studies—in each year, a portion of respondents were interviewed via the internet while others were interviewed face-to-face. We identify a politically relevant difference between the two survey modes: those interviewed face-to-face express greater satisfaction with democracy. Indeed, the difference we identify is similar in magnitude to the difference typically observed between electoral winners and electoral losers. Our result is robust to different measurement and estimation strategies. While levels of satisfaction are influenced by the presence of an interviewer, a followup analysis indicates that the relationship between satisfaction and winner–loser status is similar across modes.

Latin America is the most violent region in the world, with many countries also suffering from high levels of criminality and the presence of powerful criminal organizations. Identifying government responses that improve citizen security is imperative. Existing research argues that improving intergovernmental coordination helps the state combat criminality, but has limited its analysis to political factors that affect coordination. I study the impact of increasing intergovernmental coordination between law enforcement agencies. Using the generalized synthetic control method, original data on the staggered implementation of a police reform that increased intergovernmental police coordination and detailed data on criminal organizations and criminality in Guanajuato, Mexico, I find that the reform weakened criminal organizations and reduced violent crime, but increased violence.

An extensive theoretical and practitioner literature addresses the drivers and consequences of transformation of violent rebel actors during conflicts. However, measurement challenges constrain large-N empirical study of the effects and consequences of such transformations. This Research Note introduces a strategy to identify periods of transformation and change in the operation of non-state armed militant groups via computational text analysis of trends in reporting on activities. It presents the measurement approach and demonstrates scalability to a corpus of more than 200 militant groups operating from 1989 to 2020. The study concludes by extending a recent analysis of the impacts of uncertainty on conflict termination. An online Appendix demonstrates the advantages and drawbacks of the measurement through a series of case studies.

In recent years, anti-refugee hate crimes have soared across Europe. We know this violence has spread fear among refugees, but we know less about its effects on the non-refugee population. This is an oversight, as research suggests political violence often has effects on the broader population. Those effects can range from increased solidarity with the targets of the violence to reduced pro-social behavior and less support for the targets of the violence. In this research note, we examine the effects of exposure to anti-refugee hate crimes in Germany. Our results suggest no direct effect of exposure to anti-refugee hate crimes on support for refugees. These results have several implications for our understanding of political divides over refugees in Europe.

Although influential models of public opinion hold that group sentiments play an important role in shaping political beliefs, they often assume that group attitudes stem from socialization and are thus exogenous to politics. We challenge this assumption, arguing that group attitudes may themselves be the consequence of political views. Across three survey experiments that each uses a unique social group–issue pair, we consistently demonstrate that attitudes toward groups are influenced by information about the groups' policy views. These findings persist even when accounting for potential partisan signaling. Altogether, these results show that group sentiments should not be regarded as wholly exogenous to policy concerns and suggest that the use of group-based heuristics can be consistent with instrumental models of public opinion.

Survey researchers testing the effectiveness of arguments for or against policies traditionally employ between-subjects designs. In doing so, they lose statistical power and the ability to precisely estimate public attitudes. We explore the efficacy of an approach often used to address these limitations: the repeated measures within-subjects (RMWS) design. This study tests the competing hypotheses that (1) the RMWS will yield smaller effects due to respondents' desire to maintain consistency (the “opinion anchor” hypothesis), and (2) the RMWS will yield larger effects because the researcher provides respondents with the opportunity to update their attitudes (the “opportunity to revise” hypothesis). Using two survey experiments, we find evidence for the opportunity to revise hypothesis, and discuss the implications for future survey research.

This study contributes to understanding mainstream parties' room for maneuver in the immigration domain by exploring the impact of moralization as a rhetorical strategy. Research has found anti-immigrant messages to be more effective than pro-immigrant messages in shaping public opinion. However, a pre-registered survey experiment with Danish respondents reveals that moral rhetoric enhances policy support for pro-immigrant communication, rendering it as effective as anti-immigrant messages. Partisan-motivated reasoning influences reactions to all messages except the non-moral anti-immigrant message, suggesting that when appealing to out-party supporters, mainstream parties still meet least resistance with an exclusive platform.

Whether a topic is seen in a moral or moral-emotional light has significant political implications. Yet, we lack knowledge about the process of moralization: Who defines the way topics are communicated about? Where prior research has investigated the relative power of different actors to place a topic on the agenda or shape opinions, we study who sets the moral and moral-emotional tone of debate. To do so, we zoom in on immigration discourse in Germany and analyze fine-grained social media data from politicians, political parties, newspapers, and members of the public over a period of more than four years. After employing a transformer model to identify moral and moral-emotional appeals, we use structural vector autoregression models to demonstrate the important role of radical-right challengers in shaping public discourse in a negative moral-emotional direction. The results inform theories of moralization and political entrepreneurship.

Prominent recent work argues that support for democracy behaves thermostatically—that democratic erosion boosts democratic support while deepening democracy yields public backlash—and further contends that there is no evidence for the classic argument that democracy itself increases democratic support over time. Here, we document how these conclusions depend on subtle choices in measurement coding that constitute “researcher degrees of freedom”: analyses employing alternative reasonable choices provide little or no support for the original conclusions. The fragility of the statistical results demonstrates that researcher degrees of freedom in measurement must be taken seriously and that the question of the relationship between democratic institutions and democratic support remains unsettled.

Concerns over free riding in NATO are widespread. An intuitive approach to analyzing free riding is treating it as a systematic pattern of spatial interdependence between the allies: how does a NATO member's defense spending react to changes in other allies' military expenditures? While recent work has found statistically significant free riding (negative spatial interdependence in the outcomes), it suffers from important limitations. First, this research does not adequately account for temporal dependence. Second, it does not quantify the effect of interest. Accounting directly for temporal dependence provides a meaningfully distinct perspective on the within-alliance dynamics, demonstrating that the spatiotemporal effect of free riding is, in fact, more substantial than its short-run effect, challenging inferences of static spatial models. We discuss the relevant practical and theoretical implications.

In multiethnic societies, domestic minority groups are frequently associated with external adversaries. In such situations, external confrontations may potentially exacerbate internal ethnic conflict by increasing intolerance toward the domestic minority. Alternatively, they may result in rallying the public around a common superordinate national identity. We examine the case of India, which has a long-running rivalry with Muslim-majority Pakistan. Through a large (n = 7052) survey experiment, we find little evidence that a hypothetical crisis with Pakistan worsens attitudes toward India's large Muslim minority. Instead, we find that such a crisis may improve intergroup cohesion within India, improving tolerance towards Muslim minorities.