Psychological inoculation strategies to fight climate disinformation across 12 countries.

Decades after the scientific debate about the anthropogenic causes of climate change was settled, climate disinformation still challenges the scientific evidence in public discourse. Here we present a comprehensive theoretical framework of (anti)science belief formation and updating to account for the psychological factors that influence the acceptance or rejection of scientific messages. We experimentally investigated, across 12 countries (N = 6,816), the effectiveness of six inoculation strategies targeting these factors-scientific consensus, trust in scientists, transparent communication, moralization of climate action, accuracy and positive emotions-to fight real-world disinformation about climate science and mitigation actions. While exposure to disinformation had strong detrimental effects on participants' climate change beliefs (δ = -0.16), affect towards climate mitigation action (δ = -0.33), ability to detect disinformation (δ = -0.14) and pro-environmental behaviour (δ = -0.24), we found almost no evidence for protective effects of the inoculations (all δ < 0.20). We discuss the implications of these findings and propose ways forward to fight climate disinformation.

Co-adoption pathways toward a low-carbon energy system.

Low-carbon technology adoption is an essential element of energy transitions toward net-zero emissions around the world. To exploit the full potential of low-carbon technologies, households should ideally co-adopt multiple low-carbon technologies. Whereas previous research primarily investigated predictors of single-technology adoption in isolation, here we focus on the co-adoption of multiple low-carbon technologies, including solar photovoltaics, stationary batteries, heat pumps, and electric vehicles, to examine the interconnections between adoption decisions and the potential of certain technologies to serve as "entry points" for the co-adoption of multiple low-carbon technologies. Based on a sample of 1967 homeowners, we identified unique demographic and psychological variables associated with co-adoption. We moreover observed specific co-adoption patterns across time in that the adoption of one technology increased the likelihood of adopting another technology. This effect, however, was primarily driven by co-adoption in close temporal proximity, pointing to opportunities for targeted policies that support technology bundles.

From values to emotions: Cognitive appraisal mediates the impact of core values on emotional experience.

Emotions and values are fundamentally connected. They both are psychological markers of subjective relevance and are thought to be deeply functionally intertwined: According to appraisal theories of emotion, emotions arise when value concerns are at stake; according to theories of value, a value that is threatened or supported gets infused with feelings. Surprisingly, while these assumptions are considered well established by researchers in the respective domains, up to now, empirical research has not provided much evidence supporting a link between values and emotions. To fill this gap, here we report results from three experiments demonstrating that values are indeed antecedents of emotions when emotional experiences arise in response to value-relevant stimuli. Individual differences in biospheric values predicted the intensity of emotional responses toward positive and negative information concerning nature and climate change, both when measured via psychophysiology (Experiment 1) and via self-report (Experiments 1-3). Primary appraisal was identified as the key process connecting values and emotions (Experiments 2-3), supporting the notion of appraisal theories that specific mechanisms of relevance detection underlie the elicitation of emotion. These findings may lead to new developments in value and emotion theories, potentially resulting in a stronger integration of the two constructs in a shared theoretical framework. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The effectiveness of nudging: A meta-analysis of choice architecture interventions across behavioral domains.

Over the past decade, choice architecture interventions or so-called nudges have received widespread attention from both researchers and policy makers. Built on insights from the behavioral sciences, this class of behavioral interventions focuses on the design of choice environments that facilitate personally and socially desirable decisions without restricting people in their freedom of choice. Drawing on more than 200 studies reporting over 450 effect sizes (n = 2,149,683), we present a comprehensive analysis of the effectiveness of choice architecture interventions across techniques, behavioral domains, and contextual study characteristics. Our results show that choice architecture interventions overall promote behavior change with a small to medium effect size of Cohen's d = 0.45 (95% CI [0.39, 0.52]). In addition, we find that the effectiveness of choice architecture interventions varies significantly as a function of technique and domain. Across behavioral domains, interventions that target the organization and structure of choice alternatives (decision structure) consistently outperform interventions that focus on the description of alternatives (decision information) or the reinforcement of behavioral intentions (decision assistance). Food choices are particularly responsive to choice architecture interventions, with effect sizes up to 2.5 times larger than those in other behavioral domains. Overall, choice architecture interventions affect behavior relatively independently of contextual study characteristics such as the geographical location or the target population of the intervention. Our analysis further reveals a moderate publication bias toward positive results in the literature. We end with a discussion of the implications of our findings for theory and behaviorally informed policy making.

Validity of energy social research during and after COVID-19: challenges, considerations, and responses.

Measures to control the spread of coronavirus disease 2019 (COVID-19) are having unprecedented impacts on people's lives around the world. In this paper, we argue that those conducting social research in the energy domain should give special consideration to the internal and external validity of their work conducted during this pandemic period. We set out a number of principles that researchers can consider to give themselves and research users greater confidence that findings and recommendations will still be applicable in years to come. Largely grounded in existing good practice guidance, our recommendations include collecting and reporting additional supporting contextual data, reviewing aspects of research design for vulnerability to validity challenges, and building in longitudinal elements where feasible. We suggest that these approaches also bring a number of opportunities to generate new insights. However, we caution that a more systemic challenge to validity of knowledge produced during this period may result from changes in the kinds of social research that it is practicable to pursue.

The power of putting a label on it: green labels weigh heavier than contradicting product information for consumers' purchase decisions and post-purchase behavior.

Green products are appealing. Thus, labeling products as environmentally friendly is an effective strategy to increase sales. However, the labels often promise more than the products can actually deliver. In the present research, we examined the expectation that consumers with high ecological motivation have strong preferences for green-labeled products - even when presented product information contradicts the label's image. This unsettling hypothesis is grounded in the labels' potential to create a cognitive match between the labeled product and consumers' motives. For labels indicating environmental friendliness (green product labels), this link should be strongest when consumers' ecological motivation is high. Findings in a series of three experiments support our assumption, showing that consumers with high ecological motivation had strong preferences (i.e., product evaluations, purchase intentions, and simulated purchase decisions) for green-labeled products as compared to consumers with low ecological motivation (Studies 1-3). Crucially, these preferences were robust, despite contradicting environmental product information (Studies 1 and 2). We extended our findings by additionally examining the impact of product labels and motivation on moral self-regulation processes. This was established by assessing participants' pro-social behavior after the purchase task: participants with high ecological motivation acted, consistent with their motives, more pro-socially in post-decision occasions. In accordance with moral cleansing effects, pro-social behavior was intensified after purchasing conventional products (Studies 2 and 3). Green labels protected participants with high ecological motivation from moral threats due to the purchase, thus making pro-social behavior less likely. Findings suggest that highly ecologically motivated consumers are most susceptible to green labels, which may override detailed product information.

The impact of rear-view mirror distance and curvature on judgements relevant to road safety.

We report two experiments that investigate the impact of rear-view mirror distance and curvature on distance, spacing, and time-to-contact (TTC) judgements. The variation in mirror distance had a significant effect on TTC judgements, but only marginally influenced distance and spacing estimations. As mirror distance increased, TTC was overestimated, which is potentially dangerous. Control conditions with identical visual angles across different mirror distances revealed that effects were not solely caused by variation in visual angle. The impact of mirror curvature moderated the effect. While observers were unable to compensate for the mirror distance effect, they could do so for the distortions generated by non-planar mirrors, at least up to a certain degree of distortion. Implications for vehicle design and national guidelines are discussed. PRACTITIONER SUMMARY: Regulations regarding rear-view mirrors are vastly different between countries. For instance EU regulations encourage convex driver-side mirrors, whereas US regulations allow them merely on the passenger's side. The use of a dynamic TTC paradigm puts the human factors designer in a position to evaluate the existing regulations and to design safer mirrors.