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Does the public accurately perceive how views change in society? Prevailing narratives suggest not, but we argue this conclusion stems from searching for the wrong kind of accuracy—demanding pollster-like precision instead of acknowledging the public’s robust perception of the ‘gist’ of change. Re-analyzing three large studies (total N = 2,236), we show that collective perceptions of change are incredibly consistent across different measurement methods (r > 0.90) and, critically, are highly aligned with actual historical data (r > 0.70). This collective wisdom is underpinned by a robust, individual-level ability to perceive the direction and relative force of these shifts. Moreover, there is a clear pattern to the minority of attitudes for which perceptions of change were inaccurate. We conclude that the public possesses a robust gist-based judgment that accurately tracks how various political attitudes have changed.
Strategic messaging can be used to build support for racial equity policies, but most research has found that linking issues to race is ineffective. What if using strategic messages to increase support for racial equity policies is not simply a matter of whether racial appeals are present in a message, but how they are framed? Evidence from an original survey experiment conducted among a highly diverse group of 2,320 randomly sampled voters in Los Angeles County demonstrates that the most effective messages are those that discuss both race and class—with distinct outcomes on message favorability and anti-carceral policy support. In addition, we find the effect is moderated by ethnoracial identity, racial resentment, and personal contact with the criminal legal system. Our findings suggest that how racial appeals are framed—not simply whether racial frames are present—is important in shaping the impact of a message; they also highlight the need for more research innovation with a variety of ways to link issues to racial inequality with the aim of building support for racial equity policies.
Inequality is a critical global issue, particularly in the United States, where economic disparities are among the most pronounced. Social justice research traditionally studies attitudes towards inequality—perceptions, beliefs, and judgments—using latent variable approaches. Recent scholarship adopts a network perspective, showing that these attitudes are interconnected within inequality belief systems. However, scholars often compare belief systems using split-sample approaches without examining how emotions, such as anger, shape these systems. Moreover, they rarely investigate Converse’s seminal idea that changes in central attitudes can lead to broader shifts in belief systems. Addressing these gaps, we applied a tripartite analytical strategy using U.S. data from the 2019 ISSP Social Inequality module. First, we used a mixed graphical model to demonstrate that inequality belief systems form cohesive small-world networks, with perception of large income inequality and belief in public redistribution as central nodes. Second, a moderated network model revealed that anger towards inequality moderates nearly one-third of network edges, consolidating the belief system by polarizing associations. Third, Ising model simulations showed that changes to central attitudes produce broader shifts across the belief system. This study advances belief system research by introducing innovative methods for comparing structures and testing dynamics of attitude change. It also contributes to social justice research by integrating emotional dynamics and highlighting anger’s role in structuring inequality belief systems.
What is persuasion and how does it differ from coercion, indoctrination, and manipulation? Which persuasive strategies are effective, and which contexts are they effective in? The aim of persuasion is attitude change, but when does a persuasive strategy yield a rational change of attitude? When is it permissible to engage in rational persuasion? In this paper, I address these questions, both in general and with reference to particular examples. The overall aims are (i) to sketch an integrated picture of the psychology, epistemology, and ethics of persuasion and (ii) to argue that there is often a tension between the aim we typically have as would-be persuaders, which is bringing about a rational change of mind, and the ethical constraints which partly distinguish persuasion from coercion, indoctrination, and manipulation.
In today’s ultra-connected world, personal and emotional narratives are omnipresent in media. This study examines how the emotional framing of second-hand testimonies about difficult or controversial past events influences attitudes. A sample of 154 Belgian participants, aged 18–77, evaluated their attitudes regarding Second World War (WWII) collaboration with Nazi Germany and the post-war repression before and after reading either the positively framed or negatively framed version of an ecologically valid interview. The narrative revolved around a son recounting his father’s past as a former collaborator joining the German forces during WWII. Results revealed a significant influence of the narrative’s emotional frame on attitudes towards collaboration and repression. The positively framed interview promoted more understanding attitudes towards collaboration and nuanced views on repression, while the opposite occurred with the negatively framed story, where participants viewed collaboration less favourably and regarded repression as justified and moral. Nevertheless, the role of emotions needs further investigation, exploring the medium of presentation of the narrative and considering the development of first-person narratives to elicit stronger emotional reactions.
Recent findings show that it is possible in some cases to robustly and durably change implicit impressions of novel individuals. This work presents a challenge to long-standing theoretical assumptions about implicit impressions, and raises new research directions for changing and reducing implicit bias toward outgroups. Namely, implicit impressions of newly encountered individuals and groups are more amenable to robust change and updating than previously assumed, and some of the lessons from this work point to when and how we might try to change implicit bias toward well-known and familiar stigmatized groups and individuals.
Veterinarians are increasingly looked to for guidance on matters relating to animal welfare, yet little is known about US veterinary students’ attitudes and beliefs about animals. In 2019, we surveyed all first-year veterinary students at a major US veterinary college (n = 123) before and after taking a required one-credit introductory animal welfare course. Attitudes were measured using the Pests, Pets and Profit (PPP) scale and belief in animal mind (BAM) was measured using an ad hoc measure adapted from previous work. Pre- and post-course comparisons indicated the introductory animal welfare course had no immediate effect on veterinary students’ attitudes or BAM. Veterinary students’ attitudes were most positive for animals considered pets, followed by pests and those used for profit. Students believed most species possess a wide variety of mental capacities, including many secondary emotions often considered uniquely human (eg guilt, embarrassment, jealousy). Sociodemographic variables consistently associated with more positive attitudes towards animals were: female gender, vegetarianism and liberal political ideology. Preferring a career involving large or food animal practice was consistently associated with less positive attitudes towards animals. Belief in animal mind explained 3% of the variation in attitude scores, whereas sociodemographic variables explained 49% of variation in attitude scores. Female gender, vegetarianism and preferring small (vs large or food animal practice) were all associated with greater BAM scores. Understanding veterinary student attitudes towards animals and beliefs about the mental capacities of animals is important when evaluating a veterinarian's ability to adhere to their oath.
Political identification is the basis of enduring conflict, suggesting thatpolitical attitudes are difficult to change. Here we show that in the 2016 U.S.Presidential Election, political identities underwent modification in responseto salient political events. We investigate these dynamics in detail bycollecting data at periodic intervals from mid-June 2016 through the generalelection (N = 3,958). We operationalize identification using prosocial giving inDictator Games played between supporters of competing primary candidatesrecruited from Amazon Mechanical Turk. The observed dynamics differed acrosspolitical parties. In-group bias among Democrats remained high until theDemocratic National Convention, disappeared shortly thereafter, and thenreturned during the final stage of the election. Bias among Republicans wasgenerally high until the final days of the election. The late resurgence of biasamong Democrats was not reflected in voting intentions, but may have presagedthe Democratic election loss.
Discussions around declining trust in the US media can be vague about its effects. One classic answer comes from the persuasion literature, in which source credibility plays a key role. However, existing research almost universally takes credibility as a given. To overcome the potentially severe confounding that can result from this, we create a hypothetical news outlet and manipulate to what extent it is portrayed as credible. We then randomly assign subjects to read op-eds attributed to the source. Our credibility treatments are strong, increasing trust in our mock source until up to 10 days later. We find some evidence that the resulting higher perceived credibility boosts the persuasiveness of arguments about more partisan topics (but not for a less politicized issue). Though our findings are mixed, we argue that this experimental approach can fruitfully enhance our understanding of the interplay between source trust and opinion change over sustained periods.
Field experiments with survey outcomes are experiments where outcomes are measured by surveys but treatments are delivered by a separate mechanism in the real world, such as by mailers, door-to-door canvasses, phone calls, or online ads. Such experiments combine the realism of field experimentation with the ability to measure psychological and cognitive processes that play a key role in theories throughout the social sciences. However, common designs for such experiments are often prohibitively expensive and vulnerable to bias. In this chapter, we review how four methodological practices currently uncommon in such experiments can dramatically reduce costs and improve the accuracy of experimental results when at least two are used in combination: (1) online surveys recruited from a defined sampling frame (2) with at least one baseline wave prior to treatment (3) with multiple items combined into an index to measure outcomes and, (4) when possible, a placebo control for the purpose of identifying which subjects can be treated. We provide a general and extensible framework that allows researchers to determine the most efficient mix of these practices in diverse applications. We conclude by discussing limitations and potential extensions.
Social movement research indicates that mobilization can effect change in political attitudes, yet few works have systematically tested the effect of protests on public opinion. This article uses survey and protest event data to assess the spatial and temporal effect of mobilizations on political attitudes Chile. It combines the 2008, 2010, and 2012 LAPOP surveys and a dataset of college student protest events, mapping respondents and protests at the municipal level using Geographic Information Systems (GIS). Using regression analyses, it finds that proximity to college student protests has a significant effect on various political attitudes. The effect, however, tends to be substantively larger on “weak” attitudes and smaller on “strong” ones. The results highlight the importance of mobilizations in shaping individual political attitudes and the role that social movements play in the policy-making process.
Attitudes are people’s stored evaluations of entities (e.g., behaviors, people, ideas, objects). Attitudes are interesting from a behavior change perspective, given theory and research suggesting that attitudes guide behavior; thus, changing attitudes may be an effective means to change behavior. This chapter provides an overview of the attitude change literature and interventions targeting attitude change in order to change behavior. The chapter also provides example materials used in attitude-based behavior change interventions across a broad range of behaviors. First, the chapter provides an overview of the conceptualization and measurement of attitudes and the psychological theories that have been employed to explain how attitude change occurs. Next, research evidence of various attitude change techniques is reviewed, including information provision, communication-persuasion, and cognitive dissonance approaches. In addition, step-by-step instructions for select attitude change techniques are provided as templates for interventionists to formulate effective attitude change interventions. The chapter also provides a range of evidence-based materials that can be delivered in a variety of delivery modes (e.g., face-to-face, online, mass media). Finally, a review of the evidence on the effective implementation of these techniques is presented. The chapter concludes with a summary of the attitude change literature and presents some challenges and future directions in moving the attitude research forward.
Our main purpose was to explore hypotheses derived from the Identification of Action Theory in a particular situation that is, a dissonant situation. Thus, we varied the identification (low versus high-level) of a problematic behavior (to stop speaking for 24 hours) in the forced compliance paradigm. Two modes of dissonance reduction were presented: cognitive rationalization (classical attitude-change) and behavioral rationalization (target behavior: to stop speaking for 48 hours). As predicted, the results showed that high-level identity of action leads to cognitive rationalization whereas low-level identity leads to behavioural rationalization. Thus, participants identifying the problematic behavior at a low-level were more inclined to accept the target behavior, compared with participants identifying their problematic behavior at a higher-level. These results are of particular interest for understanding the extent to which the understanding of the discrepant act interferes with the cognitive processes of dissonance reduction.
It is a perennial issue in the public and the scientific debate whether increased pressures to reform due to the financial crisis or population ageing erode welfare state support. Surprisingly, our knowledge of how individuals change their attitudes in hard times is still limited – both theoretically and empirically. We rely on newly available data from a survey experiment in a representative German online survey and exogenously manipulate the perceived pressure to reform (due to an ageing society). We show that people indeed change their reform preferences when faced with an ageing society: the strong opposition to increasing the retirement age decreases. Further analyses reveal that not all groups within society react to increased reform pressures in the same way: political knowledge but also political partisanship do moderate the strength and the direction of the attitude change.
In an experimental evaluation of a “friendly visitor” type of program in which adolescents visited senior citizens, it was found that general attitudes toward elderly people (measured by the Semantic Differential developed by Rosencranz and McNevin) improved following weekly contact with specific elderly persons. One of the weaknesses in research on this type of intervention has been the assumption that the quality of the contact was uniform, and the impact of quality was rarely assessed. In the present study, the perceived quality of the experience was found to have a significant impact on improving attitudes. Programs such as the one evaluated here can, therefore, have two outcomes: the provision of service to elderly individuals and the change of negative attitudes toward elderly people.
A qualitative study was conducted with a subset of a Community Supported Agriculture (CSA) membership base in Wisconsin, USA to examine attitude and behavior change associated with membership. Changes that were examined included: modified eating or cooking habits, increased consideration of food seasonality and associated consumer preferences for seasonal products, and an enhanced appreciation for farming. Although this study investigated ‘spillover’ attitude or behavior changes (e.g. reduced driving or increased use of environmentally friendly cleaning products), none were observed. This study indicates that attitude and behavior changes are generated by the structural elements of CSA including exposure to the farm, interactions with the farmer, and the constraints imposed by a pre-selected bundle of vegetables. There was no indication that changes occur due to the development and enforcement of social norms within the CSA membership base. Community, in the context of this CSA, is expressed primarily as a conceptual community of interest. Our results suggest that demonstrated attitude and behavior change increases the likelihood that a consumer will renew their CSA membership.
The most frequently used computational models in social psychology are probably various kinds of connectionist models, such as constraint satisfaction networks, feedforward pattern associators with delta-rule learning, and multilayer recurrent networks with learning. The chapter begins with work on causal learning, causal reasoning, and impression formation. A large number of central phenomena in social psychology can be captured by a fairly simple feedback or recurrent network with learning. Important findings on causal learning, causal reasoning, individual and group impression formation, and attitude change can all be captured within the same basic architecture. This suggests that we might be close to being able to provide an integrated theory or account of a wide range of social psychological phenomena. It also suggests that underlying the apparent high degree of complexity of social and personality phenomena may be more fundamental simplicity.
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