The role of positive emotion in harmful health behavior: Implications for theory and public health campaigns.

Meta-analyses have concluded that positive emotions do not reduce appetitive risk behaviors (risky behaviors that fulfill appetitive or craving states, such as smoking and excessive alcohol use). We propose that this conclusion is premature. Drawing on the Appraisal Tendency Framework and related theories of emotion and decision-making, we hypothesized that gratitude (a positive emotion) can decrease cigarette smoking, a leading cause of premature death globally. A series of multimethod studies provided evidence supporting our hypothesis (collective N = 34,222). Using nationally representative US samples and an international sample drawn from 87 countries, Studies 1 and 2 revealed that gratitude was inversely associated with likelihood of smoking, even after accounting for numerous covariates. Other positive emotions (e.g., compassion) lacked such consistent associations, as expected. Study 3, and its replication, provided further support for emotion specificity: Experimental induction of gratitude, unlike compassion or sadness, reduced cigarette craving compared to a neutral state. Study 4, and its replication, showed that inducing gratitude causally increased smoking cessation behavior, as evidenced by enrollment in a web-based cessation intervention. Self-reported gratitude mediated the effects in both experimental studies. Finally, Study 5 found that current antismoking messaging campaigns by the US Centers for Disease Control and Prevention primarily evoked sadness and compassion, but seldom gratitude. Together, our studies advance understanding of positive emotion effects on appetitive risk behaviors; they also offer practical implications for the design of public health campaigns.

The contingent reputational benefits of selective exposure to partisan information.

Individuals often preferentially avoid information that contradicts and seek information that aligns with their prior beliefs-a tendency referred to as "selective exposure." Traditionally, prior research has focused on intrapersonal drivers of selective exposure, including avoidance of cognitive dissonance. We take a complementary approach by investigating the conditions under which interpersonal concerns drive selective exposure. Drawing on a large literature on impression management, we test a social signaling model of selective exposure, which predicts that (a) individuals shift their information selection decisions to signal to observers and (b) observers reward such shifts. We test this model in the domain of partisan politics in the United States across five financially incentivized, preregistered experiments (N = 3,598). Our results extend prior theory by identifying three key contingencies: the type of task on which observers expect to collaborate with actors, alignment of group membership between observers and actors, and the magnitude of demonstrated selective exposure. Overall, we find that tailoring one's information selection decisions can indeed have strategic value-but only under certain theoretically predictable conditions. Our work also identifies an actor-observer misalignment: While observers are sensitive to the type of future interaction with an actor, the actors themselves do not intuit this sensitivity. In the era of social media, when information selection decisions are more public than ever and the spread of misinformation is pervasive, understanding the ways in which reputational considerations shape decision making not only illuminates why selective exposure persists, but also suggests novel mitigation strategies. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Psychological Science Accelerator's COVID-19 rapid-response dataset.

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data.

In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries.

The COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public. Given that subtle differences in information framing can have meaningful effects on behavior, behavioral science research highlights a pressing question: Is it more effective to frame COVID-19 health messages in terms of potential losses (e.g., "If you do not practice these steps, you can endanger yourself and others") or potential gains (e.g., "If you practice these steps, you can protect yourself and others")? Collecting data in 48 languages from 15,929 participants in 84 countries, we experimentally tested the effects of message framing on COVID-19-related judgments, intentions, and feelings. Loss- (vs. gain-) framed messages increased self-reported anxiety among participants cross-nationally with little-to-no impact on policy attitudes, behavioral intentions, or information seeking relevant to pandemic risks. These results were consistent across 84 countries, three variations of the message framing wording, and 560 data processing and analytic choices. Thus, results provide an empirical answer to a global communication question and highlight the emotional toll of loss-framed messages. Critically, this work demonstrates the importance of considering unintended affective consequences when evaluating nudge-style interventions.

Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations.

Given the many contexts in which people have difficulty engaging with views that disagree with their own-from political discussions to workplace conflicts-it is critical to understand how conflictual conversations can be improved. Whereas previous work has focused on strategies to change individual-level mindsets (e.g., encouraging open-mindedness), the present study investigated the role of partners' beliefs about their counterparts. Across seven preregistered studies (N = 2,614 adults), people consistently underestimated how willing disagreeing counterparts were to learn about opposing views (compared with how willing participants were themselves and how willing they believed agreeing others would be). Further, this belief strongly predicted greater derogation of attitude opponents and more negative expectations for conflictual conversations. Critically, in both American partisan politics and the Israeli-Palestinian conflict, a short informational intervention that increased beliefs that disagreeing counterparts were willing to learn about one's views decreased derogation and increased willingness to engage in the future. We built on research recognizing the power of the situation to highlight a fruitful new focus for conflict research.

Why is exposure to opposing views aversive? Reconciling three theoretical perspectives.

To form truthful beliefs, individuals must expose themselves to varied viewpoints. And yet, people routinely avoid information that contradicts their prior beliefs-a tendency termed "selective exposure." Why? Prior research theorizes that exposure to opposing views triggers negative emotions; in turn, people avoid doing so. Here, we argue that understanding why individuals find simple exposure to opposing perspectives aversive is an important and largely unanswered psychological question. We review three streams of research that offer relevant theories: self-threat borne of cognitive dissonance; naïve realism (i.e., the illusion of personal objectivity); and reluctance to expend cognitive effort. While extant empirical research offers the strongest evidence for predictions from naïve realism, more systematic research is needed to reconcile these perspectives.

Observers penalize decision makers whose risk preferences are unaffected by loss-gain framing.

A large interdisciplinary body of research on human judgment and decision making documents systematic deviations between prescriptive decision models (i.e., how individuals should behave) and descriptive decision models (i.e., how individuals actually behave). One canonical example is the loss-gain framing effect on risk preferences: the robust tendency for risk preferences to shift depending on whether outcomes are described as losses or gains. Traditionally, researchers argue that decision makers should always be immune to loss-gain framing effects. We present three preregistered experiments (N = 1,954) that qualify this prescription. We predict and find that while third-party observers penalize decision makers who make risk-averse (vs. risk-seeking) choices when choice outcomes are framed as losses, this result reverses when outcomes are framed as gains. This reversal holds across five social perceptions, three decision contexts, two sample populations of United States adults, and with financial stakes. This pattern is driven by the fact that observers themselves fall victim to framing effects and socially derogate (and financially punish) decision makers who disagree. Given that individuals often care deeply about their reputation, our results challenge the long-standing prescription that they should always be immune to framing effects. The results extend understanding not only for decision making under risk, but also for a range of behavioral tendencies long considered irrational biases. Such understanding may ultimately reveal not only why such biases are so persistent but also novel interventions: our results suggest a necessary focus on social and organizational norms. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Toward a psychology of attitude conflict.

We review research on "attitude conflict" -- competitive disagreement with regard to beliefs, values, and preferences, characterized by parties' intolerance of each other's positions. We propose a simple causal model of attitude conflict, including three antecedents that drive it and two consequences that frequently emerge. Whereas prior research has focused on the consequences - negative inferences about holders of opposing views and negative affect at the prospect of interacting with them - we focus on the antecedents. Specifically, we propose that disagreements that lead to attitude conflict are often characterized by perceptions of high (1) outcome importance, (2) actor interdependence, and (3) evidentiary skew. Our analysis offers multiple paths for future research to more accurately predict and more effectively intervene in such situations.

Staying the course: Decision makers who escalate commitment are trusted and trustworthy.

Escalation of commitment-the tendency to remain committed to a course of action, often despite negative prospects-is common. Why does it persist? Across three preregistered experiments (N = 3,888), we tested the hypothesis that escalating commitment signals trustworthiness. Experiments 1-2, respectively, revealed that decision makers who escalated commitment were perceived as more trustworthy and entrusted with 29% more money by third-party observers. Experiment 3 revealed that decision makers who escalated commitment subsequently made more trustworthy choices, returning 15% more money than those who de-escalated. Decision makers were equally likely to escalate commitment in public versus in private, possibly because they previously internalized how others would evaluate them. Complementing research examining cognitive factors driving escalation of commitment, the present work reveals that accounting for the reputational causes and consequences of decisions to escalate enhances understanding of why escalation is so common and suggests how organizations might reduce it. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic.

The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about a situation. Participants from 87 countries and regions (n = 21,644) were randomly assigned to one of two brief reappraisal interventions (reconstrual or repurposing) or one of two control conditions (active or passive). Results revealed that both reappraisal interventions (vesus both control conditions) consistently reduced negative emotions and increased positive emotions across different measures. Reconstrual and repurposing interventions had similar effects. Importantly, planned exploratory analyses indicated that reappraisal interventions did not reduce intentions to practice preventive health behaviours. The findings demonstrate the viability of creating scalable, low-cost interventions for use around the world. PROTOCOL REGISTRATION: The stage 1 protocol for this Registered Report was accepted in principle on 12 May 2020. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.c.4878591.v1.

Sadness, but not all negative emotions, heightens addictive substance use.

Do negative feelings in general trigger addictive behavior, or do specific emotions play a stronger role? Testing these alternative accounts of emotion and decision making, we drew on the Appraisal Tendency Framework to predict that sadness, specifically, rather than negative mood, generally, would 1) increase craving, impatience, and actual addictive substance use and 2) do so through mechanisms selectively heightened by sadness. Using a nationally representative, longitudinal survey, study 1 (n = 10,685) revealed that sadness, but not other negative emotions (i.e., fear, anger, shame), reliably predicted current smoking as well as relapsing 20 years later. Study 2 (n = 425) used an experimental design, and found further support for emotion specificity: Sadness, but not disgust, increased self-reported craving relative to a neutral state. Studies 3 and 4 (n = 918) introduced choice behavior as outcome variables, revealing that sadness causally increased impatience for cigarette puffs. Moreover, study 4 revealed that the effect of sadness on impatience was more fully explained by concomitant appraisals of self-focus, which are specific to sadness, than by concomitant appraisals of negative valence, which are general to all negative emotions. Importantly, study 4 also examined the topography of actual smoking behavior, finding that experimentally induced sadness (as compared to neutral emotion) causally increased the volume and duration of cigarette puffs inhaled. Together, the present studies provide support for a more nuanced model regarding the effects of emotion on tobacco use, in particular, as well as on addictive behavior, in general.

Selective exposure partly relies on faulty affective forecasts.

People preferentially consume information that aligns with their prior beliefs, contributing to polarization and undermining democracy. Five studies (collective N = 2455) demonstrate that such "selective exposure" partly stems from faulty affective forecasts. Specifically, political partisans systematically overestimate the strength of negative affect that results from exposure to opposing views. In turn, these incorrect forecasts drive information consumption choices. Clinton voters overestimated the negative affect they would experience from watching President Trump's Inaugural Address (Study 1) and from reading statements written by Trump voters (Study 2). Democrats and Republicans overestimated the negative affect they would experience from listening to speeches by opposing-party senators (Study 3). People's tendency to underestimate the extent to which they agree with opponents' views drove the affective forecasting error. Finally, correcting biased affective forecasts reduced selective exposure by 24-34% (Studies 4 and 5).