The Costs of Polarizing a Pandemic: Antecedents, Consequences, and Lessons.

Polarization has been rising in the United States of America for the past few decades and now poses a significant-and growing-public-health risk. One of the signature features of the American response to the COVID-19 pandemic has been the degree to which perceptions of risk and willingness to follow public-health recommendations have been politically polarized. Although COVID-19 has proven more lethal than any war or public-health crisis in American history, the deadly consequences of the pandemic were exacerbated by polarization. We review research detailing how every phase of the COVID-19 pandemic has been polarized, including judgments of risk, spatial distancing, mask wearing, and vaccination. We describe the role of political ideology, partisan identity, leadership, misinformation, and mass communication in this public-health crisis. We then assess the overall impact of polarization on infections, illness, and mortality during the pandemic; offer a psychological analysis of key policy questions; and identify a set of future research questions for scholars and policy experts. Our analysis suggests that the catastrophic death toll in the United States was largely preventable and due, in large part, to the polarization of the pandemic. Finally, we discuss implications for public policy to help avoid the same deadly mistakes in future public-health crises.

Negativity drives online news consumption.

Online media is important for society in informing and shaping opinions, hence raising the question of what drives online news consumption. Here we analyse the causal effect of negative and emotional words on news consumption using a large online dataset of viral news stories. Specifically, we conducted our analyses using a series of randomized controlled trials (N = 22,743). Our dataset comprises ~105,000 different variations of news stories from Upworthy.com that generated ∼5.7 million clicks across more than 370 million overall impressions. Although positive words were slightly more prevalent than negative words, we found that negative words in news headlines increased consumption rates (and positive words decreased consumption rates). For a headline of average length, each additional negative word increased the click-through rate by 2.3%. Our results contribute to a better understanding of why users engage with online media.

Psychological well-being is associated with prosociality during the COVID-19 pandemic: A comparison of Swedish and Chinese samples.

This study revisited the link between psychological well-being and prosociality during a global crisis from a cross-cultural perspective. We surveyed two large samples of Chinese (N1 = 1,030; 89 regions; May 1-6, 2020) and Swedish (N2 = 1,160; 22 regions; May 14-24, 2020) individuals during the coronavirus (COVID-19) pandemic. Across both countries, we observed that psychological well-being was strongly associated with one's self-reported tendency to perform prosocial behaviors, including actions aimed at relieving the burden of the pandemic (e.g., money donation to charity organizations during COVID-19). Moreover, leveraging inter- and within-subject similarity approaches, our findings suggested that well-being was related to the coherence of prosocial behaviors across domains (including trust, cooperation, and altruism). Collectively, our replication effort shows that psychological well-being holds relevance for prosocial behaviors during a global crisis, with primarily invariance between individualistic and collectivistic cultures. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Alcohol Use Disorder Displays Trait-Related Reductions in Prosocial Decision Making.

BACKGROUND: Alcohol use disorder (AUD) is associated with deficits in social cognition, but the relationship between harmful alcohol use and the processes underlying interactive social behavior is still unknown. We hypothesized that prosocial decision making is reduced in AUD and that individual differences in the underlying processes are key to better understanding these reductions. METHODS: In one laboratory study (Swedish participants, n = 240) and one confirmatory online study (American participants, n = 260), we compared young adults with AUD with age-, gender-, and education-matched healthy control subjects on 6 facets of prosocial decision making. We used standardized behavioral economic tasks, namely the dictator game, ultimatum game, trust game, and third-party game. To better understand the expected differences in prosociality, we evaluated attention by tracking eye gaze, decision response time, clinical symptoms, and social cognition. RESULTS: Altruism (lab study: p = .007; online study: p < .001), fairness (lab study: p = .003; online study: p = .007), and reciprocal trust (lab study: p = .007; online study: p = .039) were reduced in individuals with AUD compared with healthy control subjects, whereas trust and third-party punishment and compensation were comparable in both studies. Reduced prosociality was associated with attending to the selfish response option, faster response time, and moral attitudes, while being dissociated from both psychiatric symptoms and drinking history in AUD. CONCLUSIONS: Individuals with AUD have trait-related reductions in prosocial decision making that do not vary with drinking history or psychiatric symptom load. These reductions were confined to one-to-one interactions accompanied by differences in attention, decision time, and moral attitudes.

The role of generalizability in moral and political psychology.

The aim of the social and behavioral sciences is to understand human behavior across a wide array of contexts. Our theories often make sweeping claims about human nature, assuming that our ancestors or offspring will be prone to the same biases and preferences. Yet we gloss over the fact that our research is often based in a single temporal context with a limited set of stimuli. Political and moral psychology are domains in which the context and stimuli are likely to matter a great deal (Van Bavel, Mende-Siedlecki, Brady, & Reinero, 2016). In response to Yarkoni (see BBS issue), we delve into topics related to political and moral psychology that likely depend on features of the research. These topics include understanding differences between liberals and conservatives, when people are willing to sacrifice someone to save others, the behavior of political leaders, and the dynamics of intergroup conflict.

The face value of feedback: facial behaviour is shaped by goals and punishments during interaction with dynamic faces.

Responding appropriately to others' facial expressions is key to successful social functioning. Despite the large body of work on face perception and spontaneous responses to static faces, little is known about responses to faces in dynamic, naturalistic situations, and no study has investigated how goal directed responses to faces are influenced by learning during dyadic interactions. To experimentally model such situations, we developed a novel method based on online integration of electromyography signals from the participants' face (corrugator supercilii and zygomaticus major) during facial expression exchange with dynamic faces displaying happy and angry facial expressions. Fifty-eight participants learned by trial-and-error to avoid receiving aversive stimulation by either reciprocate (congruently) or respond opposite (incongruently) to the expression of the target face. Our results validated our method, showing that participants learned to optimize their facial behaviour, and replicated earlier findings of faster and more accurate responses in congruent versus incongruent conditions. Moreover, participants performed better on trials when confronted with smiling, when compared with frowning, faces, suggesting it might be easier to adapt facial responses to positively associated expressions. Finally, we applied drift diffusion and reinforcement learning models to provide a mechanistic explanation for our findings which helped clarifying the underlying decision-making processes of our experimental manipulation. Our results introduce a new method to study learning and decision-making in facial expression exchange, in which there is a need to gradually adapt facial expression selection to both social and non-social reinforcements.

Decision-Making in the Human-Machine Interface.

If our choices make us who we are, then what does that mean when these choices are made in the human-machine interface? Developing a clear understanding of how human decision making is influenced by automated systems in the environment is critical because, as human-machine interfaces and assistive robotics become even more ubiquitous in everyday life, many daily decisions will be an emergent result of the interactions between the human and the machine - not stemming solely from the human. For example, choices can be influenced by the relative locations and motor costs of the response options, as well as by the timing of the response prompts. In drift diffusion model simulations of response-prompt timing manipulations, we find that it is only relatively equibiased choices that will be successfully influenced by this kind of perturbation. However, with drift diffusion model simulations of motor cost manipulations, we find that even relatively biased choices can still show some influence of the perturbation. We report the results of a two-alternative forced-choice experiment with a computer mouse modified to have a subtle velocity bias in a pre-determined direction for each trial, inducing an increased motor cost to move the cursor away from the pre-designated target direction. With queries that have each been normed in advance to be equibiased in people's preferences, the participant will often begin their mouse movement before their cognitive choice has been finalized, and the directional bias in the mouse velocity exerts a small but significant influence on their final choice. With queries that are not equibiased, a similar influence is observed. By exploring the synergies that are developed between humans and machines and tracking their temporal dynamics, this work aims to provide insight into our evolving decisions.

Are New Gender-Neutral Pronouns Difficult to Process in Reading? The Case of Hen in SWEDISH.

Hen is a Swedish gender-neutral pronoun used for non-binary individuals and as a generic singular pronoun form. Hen was added to the Swedish Academy Glossary (SAOL) in 2015, and opponents of hen have argued that gender-neutral pronouns are difficult to process, and therefore should not be used. As of yet, this has not been empirically tested. This pre-registered study used eye-tracking to experimentally test if hen has a processing cost by measuring the process of understanding whom a pronoun refers to (i.e., pronoun resolution). Participants (N = 120) read 48 sentence pairs where the first sentence included a noun referring to a person (e.g., sister, hairdresser, person) and the second included a pronoun referring to the noun. The pronouns were either gendered (she and he) or gender-neutral (hen). The nouns were either neutral (e.g., person, colleague) or gendered, either by lexically referring to gender (e.g., sister, king), or by being associated with stereotypes based on occupational gender segregation (e.g., occupational titles like hairdresser, carpenter). We tested if hen had a greater processing cost than gendered pronouns, and whether the type of noun moderated this effect. The hypotheses were that hen referring to neutral nouns would lead to a smaller processing cost than hen referring to gendered nouns. Furthermore, we hypothesized that hen referring to lexically gendered nouns would lead to larger processing costs than stereotypically gendered role nouns. The processing cost of hen was measured by reading time spent on three regions of the sentence pairs; the pronoun, the spillover region (i.e., the words following the pronoun), and the noun. The only processing cost for hen occurred in the spillover region. The processing cost in this region was greater when hen referred to neutral nouns than when hen referred to a noun associated with gender. In contrast to the hypothesis, the type of gender information associated with the noun did not interact with these effects (i.e., the same reading time for hen following e.g., the queen or carpenter). Altogether, the results do not support that gender-neutral pronouns should be avoided because they are difficult to process.

Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic.

Numerous polls suggest that COVID-19 is a profoundly partisan issue in the United States. Using the geotracking data of 15 million smartphones per day, we found that US counties that voted for Donald Trump (Republican) over Hillary Clinton (Democrat) in the 2016 presidential election exhibited 14% less physical distancing between March and May 2020. Partisanship was more strongly associated with physical distancing than numerous other factors, including counties' COVID-19 cases, population density, median income, and racial and age demographics. Contrary to our predictions, the observed partisan gap strengthened over time and remained when stay-at-home orders were active. Additionally, county-level consumption of conservative media (Fox News) was related to reduced physical distancing. Finally, the observed partisan differences in distancing were associated with subsequently higher COVID-19 infection and fatality growth rates in pro-Trump counties. Taken together, these data suggest that US citizens' responses to COVID-19 are subject to a deep-and consequential-partisan divide.

Integration of social cues and individual experiences during instrumental avoidance learning.

Learning to avoid harmful consequences can be a costly trial-and-error process. In such situations, social information can be leveraged to improve individual learning outcomes. Here, we investigated how participants used their own experiences and others' social cues to avoid harm. Participants made repeated choices between harmful and safe options, each with different probabilities of generating shocks, while also seeing the image of a social partner. Some partners made predictive gaze cues towards the harmful choice option while others cued an option at random, and did so using neutral or fearful facial expressions. We tested how learned social information about partner reliability transferred across contexts by letting participants encounter the same partner in multiple trial blocks while facing novel choice options. Participants' decisions were best explained by a reinforcement learning model that independently learned the probabilities of options being safe and of partners being reliable and combined these combined these estimates to generate choices. Advice from partners making a fearful facial expression influenced participants' decisions more than advice from partners with neutral expressions. Our results showed that participants made better decisions when facing predictive partners and that they cached and transferred partner reliability estimates into new blocks. Using simulations we show that participants' transfer of social information into novel contexts is better adapted to variable social environments where social partners may change their cuing strategy or become untrustworthy. Finally, we found no relation between autism questionnaire scores and performance in our task, but do find autism trait related differences in learning rate parameters.

Physiological synchrony predicts observational threat learning in humans.

Understanding how information about threats in the environment is shared and transmitted between individuals is crucial for explaining adaptive, survival-related behaviour in humans and other animals, and for developing treatments for phobias and other anxiety disorders. Research across species has shown that observing a conspecific's, a 'demonstrator's,' threat responses causes strong and persistent threat memories in the 'observer'. Here, we examined if physiological synchrony between demonstrator and observer can serve to predict the strength of observationally acquired conditioned responses. We measured synchrony between demonstrators' and observers' phasic electrodermal signals during learning, which directly reflects autonomic nervous system activity. Prior interpersonal synchrony predicted the strength of the observer's later skin conductance responses to threat predicting stimuli, in the absence of the demonstrator. Dynamic coupling between an observer's and a demonstrator's autonomic nervous system activity may reflect experience sharing processes facilitating the formation of observational threat associations.

Letting rationalizations out of the box.

We are very happy that someone has finally tried to make sense of rationalization. But we are worried about the representational structure assumed by Cushman, particularly the "boxology" belief-desire model depicting the rational planner, and it seems to us he fails to accommodate many of the interpersonal aspects of representational exchange.

Publisher Correction: Pupil dilation tracks the dynamics of mnemonic interference resolution.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Identity leadership: Managing perceptions of conflict for collective action.

We argue that how players perceive the attack-defense game might matter far more than its actual underlying structure in determining the outcomes of intergroup conflict. Leaders can use various tactics to dynamically modify these perceptions, from collective victimization to the distortion of the perceived payoffs, with some followers being more receptive than others to such leadership tactics.

False beliefs and confabulation can lead to lasting changes in political attitudes.

In times of increasing polarization and political acrimony, fueled by distrust of government and media disinformation, it is ever more important to understand the cognitive mechanisms behind political attitude change. In two experiments, we present evidence that false beliefs about one's own prior attitudes and confabulatory reasoning can lead to lasting changes in political attitudes. In Experiment 1 (N = 140), participants stated their opinions about salient political issues, and using the Choice Blindness Paradigm we covertly altered some of their responses to indicate an opposite position. In the first condition, we asked the participants to immediately verify the manipulated responses, and in the second, we also asked them to provide underlying arguments behind their attitudes. Only half of the manipulations were corrected by the participants. To measure lasting attitude change, we asked the participants to rate the same issues again later in the experiment, as well as one week after the first session. Participants in both conditions exhibited lasting shifts in attitudes, but the effect was considerably larger in the group that confabulated supporting arguments. We fully replicated these findings in Experiment 2 (N = 232). In addition, we found that participants' analytical skill correlated with their correction of the manipulation, whereas political involvement did not. This study contributes to the understanding of how confabulatory reasoning and self-perceptive processes can interact in lasting attitude change. It also highlights how political expressions can be both stable in the context of everyday life, yet flexible when argumentative processes are engaged. (PsycINFO Database Record

Pupil dilation tracks the dynamics of mnemonic interference resolution.

Mnemonic interference refers to the inability to retrieve a goal-relevant memory due to interference from goal-irrelevant memories. Understanding the causes of such interference and how it is overcome has been a central goal in the science of memory for more than a century. Here, we shed new light on this fundamental issue by tracking participants' pupil response when they encode and retrieve memories in the face of competing goal-irrelevant memories. We show that pupil dilation systematically increased in accordance with interference from competing memory traces when participants retrieved previously learned information. Moreover, our results dissociate two main components in the pupillary response signal: an early component, which peaked in a time window where the pupillary waveform on average had its maximum peak, and a late component, which peaked towards the end of the retrieval task. We provide evidence that the early component is specifically modulated by the cognitive effort needed to handle interference from competing memory traces whereas the late component reflects general task engagement. This is the first demonstration that mnemonic interference resolution can be tracked online in the pupil signal and offers novel insight into the underlying dynamics.

Biasing moral decisions by exploiting the dynamics of eye gaze.

Eye gaze is a window onto cognitive processing in tasks such as spatial memory, linguistic processing, and decision making. We present evidence that information derived from eye gaze can be used to change the course of individuals' decisions, even when they are reasoning about high-level, moral issues. Previous studies have shown that when an experimenter actively controls what an individual sees the experimenter can affect simple decisions with alternatives of almost equal valence. Here we show that if an experimenter passively knows when individuals move their eyes the experimenter can change complex moral decisions. This causal effect is achieved by simply adjusting the timing of the decisions. We monitored participants' eye movements during a two-alternative forced-choice task with moral questions. One option was randomly predetermined as a target. At the moment participants had fixated the target option for a set amount of time we terminated their deliberation and prompted them to choose between the two alternatives. Although participants were unaware of this gaze-contingent manipulation, their choices were systematically biased toward the target option. We conclude that even abstract moral cognition is partly constituted by interactions with the immediate environment and is likely supported by gaze-dependent decision processes. By tracking the interplay between individuals, their sensorimotor systems, and the environment, we can influence the outcome of a decision without directly manipulating the content of the information available to them.

How the polls can be both spot on and dead wrong: using choice blindness to shift political attitudes and voter intentions.

Political candidates often believe they must focus their campaign efforts on a small number of swing voters open for ideological change. Based on the wisdom of opinion polls, this might seem like a good idea. But do most voters really hold their political attitudes so firmly that they are unreceptive to persuasion? We tested this premise during the most recent general election in Sweden, in which a left- and a right-wing coalition were locked in a close race. We asked our participants to state their voter intention, and presented them with a political survey of wedge issues between the two coalitions. Using a sleight-of-hand we then altered their replies to place them in the opposite political camp, and invited them to reason about their attitudes on the manipulated issues. Finally, we summarized their survey score, and asked for their voter intention again. The results showed that no more than 22% of the manipulated replies were detected, and that a full 92% of the participants accepted and endorsed our altered political survey score. Furthermore, the final voter intention question indicated that as many as 48% (±9.2%) were willing to consider a left-right coalition shift. This can be contrasted with the established polls tracking the Swedish election, which registered maximally 10% voters open for a swing. Our results indicate that political attitudes and partisan divisions can be far more flexible than what is assumed by the polls, and that people can reason about the factual issues of the campaign with considerable openness to change.