Combining refutations and social norms increases belief change.

Misinformed beliefs are difficult to change. Refutations that target false claims typically reduce false beliefs, but tend to be only partially effective. In this study, a social norming approach was explored to test whether provision of peer norms could provide an alternative or complementary approach to refutation. Three experiments investigated whether a descriptive norm-by itself or in combination with a refutation-could reduce the endorsement of worldview-congruent claims. Experiment 1 found that using a single-point estimate to communicate a norm affected belief but had less impact than a refutation. Experiment 2 used a verbally presented distribution of four values to communicate a norm, which was largely ineffective. Experiment 3 used a graphically presented social norm with 25 values, which was found to be as effective at reducing claim belief as a refutation, with the combination of both interventions being most impactful. These results provide a proof of concept that normative information can aid in the debunking of false or equivocal claims, and suggests that theories of misinformation processing should take social factors into account.

Reviewing the relationship between neoliberal societies and nature: implications of the industrialized dominant social paradigm for a sustainable future.

How a society relates to nature is shaped by the dominant social paradigm (DSP): a society's collective view on social, economic, political, and environmental issues. The characteristics of the DSP have important consequences for natural systems and their conservation. Based on a synthesis of academic literature, we provide a new gradient of 12 types of human-nature relationships synthesized from scientific literature, and an analysis of where the DSP of industrialized, and more specifically, neoliberal societies fit on that gradient. We aim to answer how the industrialized DSP relates to nature, i.e., what types of human-nature relationships this DSP incorporates, and what the consequences of these relationships are for nature conservation and a sustainable future. The gradient of human-nature relationships is based on three defining characteristics: (1) a nature-culture divide, (2) core values, and (3) being anthropocentric or ecocentric. We argue that the industrialized DSP includes elements of the anthropocentric relationships of mastery, utilization, detachment, and stewardship. It therefore regards nature and culture as separate, is mainly driven by instrumental values, and drives detachment from and commodification of nature. Consequently, most green initiatives and policies driven by an industrialized and neoliberal DSP are based on economic incentives and economic growth, without recognition of the needs and limits of natural systems. This leads to environmental degradation and social inequality, obstructing the path to a truly sustainable society. To reach a more ecocentric DSP, systemic changes, in addition to individual changes, in the political and economic structures of the industrialized DSP are needed, along with a change in values and approach toward nature, long-term sustainability, and conservation.

Using the COVID-19 economic crisis to frame climate change as a secondary issue reduces mitigation support.

The COVID-19 pandemic has understandably dominated public discourse, crowding out other important issues such as climate change. Currently, if climate change enters the arena of public debate, it primarily does so in direct relation to the pandemic. In two experiments, we investigated (1) whether portraying the response to the COVID-19 threat as a "trial run" for future climate action would increase climate-change concern and mitigation support, and (2) whether portraying climate change as a concern that needs to take a "back seat" while focus lies on economic recovery would decrease climate-change concern and mitigation support. We found no support for the effectiveness of a trial-run frame in either experiment. In Experiment 1, we found that a back-seat frame reduced participants' support for mitigative action. In Experiment 2, the back-seat framing reduced both climate-change concern and mitigation support; a combined inoculation and refutation was able to offset the drop in climate concern but not the reduction in mitigation support.

Is bad news on TV tickers good news? The effects of voiceover and visual elements in video on viewers' assessment.

In our experiment, we tested how exposure to a mock televised news segment, with a systematically manipulated emotional valence of voiceover, images and TV tickers (in the updating format) impacts viewers' perception. Subjects (N = 603) watched specially prepared professional video material which portrayed the story of a candidate for local mayor. Following exposure to the video, subjects assessed the politician in terms of competence, sociability, and morality. Results showed that positive images improved the assessment of the politician, whereas negative images lowered it. In addition, unexpectedly, positive tickers led to a negative assessment, and negative ones led to more beneficial assessments. However, in a situation of inconsistency between the voiceover and information provided on visual add-ons, additional elements are apparently ignored, especially when they are negative and the narrative is positive. We then discuss the implications of these findings.

Why Higher Working Memory Capacity May Help You Learn: Sampling, Search, and Degrees of Approximation.

Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the number of samples, or "particles," available to perform inference. To test this idea, we focus on two recent experiments that report positive associations between WMC and two distinct aspects of categorization performance: the ability to learn novel categories, and the ability to switch between different categorization strategies ("knowledge restructuring"). In favor of the idea of modeling WMC as a number of particles, we show that a single model can reproduce both experimental results by varying the number of particles-increasing the number of particles leads to both faster category learning and improved strategy-switching. Furthermore, when we fit the model to individual participants, we found a positive association between WMC and best-fit number of particles for strategy switching. However, no association between WMC and best-fit number of particles was found for category learning. These results are discussed in the context of the general challenge of disentangling the contributions of different potential sources of behavioral variability.

The effect of framing and normative messages in building support for climate policies.

Deep cuts in greenhouse gas emissions are required to mitigate climate change. However, there is low willingness amongst the public to prioritise climate policies for reducing emissions. Here we show that the extent to which Australians are prepared to reduce their country's CO2 emissions is greater when the costs to future national income are framed as a "foregone-gain"--incomes rise in the future but not by as much as in the absence of emission cuts--rather than as a "loss"--incomes decrease relative to the baseline expected future levels (Studies 1 & 2). The provision of a normative message identifying Australia as one of the world's largest CO2 emitters did not increase the amount by which individuals were prepared to reduce emissions (Study 1), whereas a normative message revealing the emission policy preferences of other Australians did (Study 2). The results suggest that framing the costs of reducing emissions as a smaller increase in future income and communicating normative information about others' emission policy preferences are effective methods for leveraging public support for emission cuts.

Traveling economically through memory space: characterizing output order in memory for serial order.

How do people report the contents of short-term memory when information about order must be retained but items can be retrieved in any order? We report an experiment using an unconstrained reconstruction task in which people can report list items in any order but must place them in their correct serial positions. We found (1) a tendency to report recent items first in immediate but not in delayed reconstruction, (2) a tendency to recall temporally isolated items first, (3) a preference for forward recall order, and (4) a preference for output orders that minimize the length of the path that must be traversed through memory space during retrieval. The results constrain most current models of short-term memory in which retrieval is ballistic and is assumed to run to completion autonomously once initiated.