Recent years have seen a surge in research on why people fall for misinformation and what can be done about it. Drawing on a framework that conceptualizes truth judgments of true and false information as a signal-detection problem, the current article identifies three inaccurate assumptions in the public and scientific discourse about misinformation: (1) People are bad at discerning true from false

Transformer models of language represent a step change in our ability to account for cognitive phenomena. Although the specific architecture that has garnered recent interest is quite young, many of its components have antecedents in the cognitive science literature. In this article, we start by providing an introduction to large language models aimed at a general psychological audience. We then highlight

An emerging literature on “the psychology of poverty” suggests that the experience of poverty itself has psychological consequences, some of which may make escaping poverty more difficult. We synthesize the evidence base from both psychology and economics using an organizing framework comprising four sets of mechanisms: cognitive function, mental health, beliefs, and preferences. We discuss the strength

Mental health treatments currently available to address racial discrimination for 21 million youth of color are inadequate. Given the nascent but promising mechanisms found within behavioral health interventions via racial socialization, or the process through which children acquire knowledge about race, developing effective and scalable therapeutic strategies to contend with the stress from racism

Any behavior humans can perform, they can performed in an “ostensive” way, that is, overtly attracting attention and providing evidence of meaning. The communicative principle of relevance is a lawlike generalization about ostensive stimuli and hence about human communication. Here I present the principle as a pair of simple and general empirical statements: one on the audience side and one on the

Conspiracy theories have been treated mostly as a homogeneous phenomenon in empirical research. However, to fully understand their causes and consequences, a multifaceted approach to conspiracy theories would be useful. Here, we propose an organizational framework with three facets (groups, ideology, and status) to conceptualize conspiracy theories. Based on a review of recent research, the current

This article spotlights a widespread problem in research and practice: Asians are commonly categorized as a monolithic group in the United States. Regarding research, my 24-year archival analysis of Psychological Science shows that most U.S. studies did not specify which Asian subgroup(s) were examined. Regarding practice, my analysis of the diversity, equity, and inclusion (DEI) webpages and latest

The goal of psychological science is to discover truths about human nature, and the typical form of empirical insights is a simple statement of the form x relates to y. We suggest that such “one-liners” imply much larger x- y relationships than those we typically study. Given the multitude of factors that compete and interact to influence any human outcome, small effect sizes should not surprise us

Research on intergroup friendships has historically focused on individuals and dyads. Only recently has research begun to examine intergroup friendship in the context of the broader web of social relationships in which individuals and dyads are embedded. This review highlights emerging research on the role of social networks in intergroup friendship, with a focus on interracial friendship. In particular

Uncertainty has a negative reputation. Not knowing what has happened or is going to happen is typically depicted as undesirable, and people often seek to minimize and avoid it. Research has shown that having a negative attitude toward uncertainty is associated with poor mental health and that certainty seeking can lead to accepting meager rewards and low-quality information. As a remedy for negative

The success of methods based on artificial neural networks in creating intelligent machines seems like it might pose a challenge to explanations of human cognition in terms of Bayesian inference. We argue that this is not the case and that these systems in fact offer new opportunities for Bayesian modeling. Specifically, we argue that artificial neural networks and Bayesian models of cognition lie

Population-level administrative data—data on individuals’ interactions with administrative systems, such as health-care, social-welfare, criminal-justice, and education systems—are a fruitful resource for research into behavior, development, and well-being. However, administrative data are underutilized in psychological science. Here, we review advantages of population-level administrative data for

How do humans build and navigate their complex social world? Standard theoretical frameworks often attribute this success to a foundational capacity to analyze other people’s appearance and behavior to make inferences about their unobservable mental states. Here we argue that this picture is incomplete. Human behavior leaves traces in our physical environment that reveal our presence, our goals, and

Over the last decade, deep neural networks (DNNs) have transformed the state of the art in artificial intelligence. In domains such as language production and reasoning, long considered uniquely human abilities, contemporary models have proven capable of strikingly human-like performance. However, in contrast to classical symbolic models, neural networks can be inscrutable even to their designers,

Multiple models of vision propose that perception involves a process of prediction and verification. Here we argue that real-world statistical regularities—representations that, on average, more quickly make contact with meaning—serve as the basis of these predictions. We show that statistically regular images—those, we argue, that more closely match perceptual predictions—are more readily perceived

The wisdom of the crowd is the finding that aggregating the judgments of many people can lead to surprisingly accurate group judgments. Usually statistical methods are used to aggregate people’s judgments, but there are advantages to using cognitive models instead. Crowd judgments based on cognitive modeling can (a) identify experts and amplify their judgments, (b) provide a representational structure

Associative memory declines with age, and this decline is thought to stem from a decreased ability to form new associations or bind information together. However, a growing body of work suggests that (a) the binding process itself remains relatively intact with age when tested implicitly and (b) older adults form excessive associations (or “hyper-bind”) because of a decreased ability to control attention

Visual working memory is traditionally studied using abstract, meaningless stimuli. Although studies using such simplified stimuli have been insightful in understanding the mechanisms of visual working memory, they also potentially limit our ability to understand how people encode and store conceptually rich and meaningful stimuli in the real world. Recent studies have demonstrated that meaningful

This article provides an overview of a model of psychological well-being put forth over 30 years ago. The intent was to advance new dimensions of positive functioning based on integration of clinical, developmental, existential, and humanistic thinking along with Aristotle’s writings about eudaimonia. The operationalization and validation of the model are briefly described, followed by an overview

Humans need to experience meaning in their lives yet often find it difficult to do so. We argue that, for nonreligious individuals in many Western cultures, the materialist and reductionist ideology that surrounds scientific practice and data may be an impediment to attaining a robust sense of meaning in life. Furthermore, scientific materialism and reductionism may be especially problematic for existential

We introduce the concept of “metajudgment” to provide a framework for understanding folk standards people use to navigate everyday decisions. Defined as a set of metatheories and beliefs about different types of judgment, metajudgment serves as the guiding principle behind the selection and application of reasoning strategies in various contexts. We review emerging studies on metajudgment to identify

We propose that much of modern human behavior can be understood as the outcome of a primitive and implicit desire for social embeddedness (i.e., a desire to belong to a larger, societal-level collective). Research from our lab suggests that people watch television, follow celebrities, and go to concerts and sporting events, at least in part, to fill this need. Connections to other research and implications

Digital technologies, such as mobile devices and wearable sensors, are ingrained in daily life, making them a promising vehicle for delivering health behavior interventions. However, a critical challenge that undermines the utility of digital interventions is the suboptimal engagement of participants, where participant engagement is defined as the investment of physical, cognitive, and affective energies

Names are important signifiers of identity, but for many ethnic minority–group members, names trigger discriminatory responses. Name anglicization (or name whitening) is one proactive response to ward off anticipated discrimination and to signal assimilation. We review evidence suggesting that name anglicization may reduce discrimination (compared with using an original ethnic name), but it burdens

Inequality is perpetuated, in part, by the psychological and behavioral tendencies that arise from the social context of inequality. Cognitive biases lead most people to see themselves as middle class, even when that perception does not align with economic reality. Those who perceive themselves as economically advantaged tend to view inequality as fair and legitimate, often dismissing proponents of

We explore the role of intuitive theories in the cultural evolution of moral cognition, integrating recent work across subfields of psychology and suggesting directions for future research. Focusing on intuitive theories in the moral domain concerning how people judge the moral value of actions and make inferences about moral character, we review evidence that the specific forms these theories take

Environments shape people, and at the same time, people are attracted to environments that fit their characteristics because fit facilitates the achievement of people’s desired life outcomes, such as relationship satisfaction, work success, and well-being. In this article, we outline how persons and environments can fit, the relevance of fit and misfit for different life outcomes, and the benefits

Language models are a rapidly developing field of artificial intelligence with enormous potential to improve our understanding of human cognition. However, many popular language models are cognitively implausible on multiple fronts. For language models to offer plausible insights into human cognitive processing, they should implement a transparent and cognitively plausible learning mechanism, train

The ubiquity of digital devices has made it feasible to assign different tasks and levels of support to different learners, also in the classroom. Ideally, this is done with the help of formative assessment software or intelligent tutoring systems. However, personalized assignment of tasks and support levels by a teacher or teaching agent has limitations and is only one path to successful personalization

Threats to social connectedness in the form of social and societal rejection, and the permanent loss of social bonds, are inevitable and common sources of social pain. However, sensitivity to social pain, also known as algesia, differs across individuals and contexts. Such sensitivity has implications for health, well-being, and the maintenance of social connection over time. What biological factors

Advantages and disadvantages exist for presenting numeric information in science communication. On the one hand, public innumeracy and experts’ concerns about providing numbers suggest not always showing them. On the other hand, people often prefer getting them, and their provision can increase comprehension, trust, and healthy behaviors while reducing risk overestimates and supporting decision-making

Societies are increasingly divided about political issues such as migration or counteracting climate change. This attitudinal polarization is the basis for intergroup conflict and prevents societal progress in addressing pressing challenges. Research on attitude change should provide an answer regarding how people might be persuaded to move away from the extremes to take a moderate stance. However

Giving is a unique attribute of human sharing. In this review, we discuss evidence attesting to our species’ preparedness to recognize interactions based on this behavior. We show that infants and adults require minimal cues of resource transfer to relate the participants of a giving event in an interactive unit (A gives X to B) and that such an interpretation does not systematically generalize to

People selectively enforce their moral principles, excusing wrongdoing when it suits them. We identify an underappreciated source of this moral inconsistency: the ability to imagine counterfactuals, or alternatives to reality. Counterfactual thinking offers three sources of flexibility that people exploit to justify preferred moral conclusions: People can (a) generate counterfactuals with different

Nearly everyone keeps secrets, but only recently have we begun to learn about the secrets people keep in their everyday lives and the experiences people have with their secrets. Early experimental research into secrecy sought to create secrecy situations in the laboratory, but in trying to observe secrecy in real time, these studies conflated secrecy with the act of concealment. In contrast, a new

Although individual-difference studies have been invaluable in several domains of psychology, there has been less success in cognitive domains using experimental tasks. The problem is often called one of reliability: Individual differences in cognitive tasks, especially cognitive-control tasks, seem too unreliable. In this article, we use the language of hierarchical models to define a novel reliability

Executive-function (EF) skills are a set of attention-regulation skills that provide a neurocognitive foundation for adapting to changing circumstances across the life span; EF skills measured in childhood are associated with important real-world outcomes (e.g., school and job success). Although training can improve EF skills, the benefits of training frequently fail to transfer to these outcomes.

The production and promotion of “AI” technology involves dehumanization on many fronts. I explore these processes of dehumanization and the role that cognitive science can play by bringing a richer picture of human cognition to the discourse.

Emotions shape how people understand and interact with others. Here, we review evidence on the relationship between anxiety—a future-oriented emotion characterized by negative valence, high arousal, and uncertainty—and mentalizing—the ascription of mental content to other agents. We examine three aspects of this relationship: how people with anxiety disorders perform on mentalizing tasks relative to

This article argues that the capacity of music to reliably cue both autobiographical memories and fictional imaginings can be leveraged to better understand the relationship and interdependence between memory and imagination more generally. The multiple levels involved in musical engagement provide a rich forum for investigating how emotional, semantic, and contextual associations with musical cues

Scientists increasingly apply concepts from reinforcement learning to affect, but which concepts should apply? And what can their application reveal that we cannot know from directly observable states? An important reinforcement learning concept is the difference between reward expectations and outcomes. Such reward prediction errors have become foundational to research on adaptive behavior in humans

In explaining how humans selectively attend, common frameworks often focus on how attention is allocated relative to an idealized allocation based on properties of the task. However, these perspectives often ignore different types of constraints that could help explain why attention was allocated in a particular way. For example, many computational models of learning are well equipped to explain how

Even before starting formal schooling, children show substantial variations in math skills suggesting that the home learning environment plays an important role in shaping young children’s math skills. Here, I review interventions aimed at providing young children with opportunities to learn math at home to identify what types of parent-guided activities may be effective at improving young children’s

The public has something of an obsession with love languages, believing that the key to lasting love is for partners to express love in each other’s preferred language. Despite the popularity of Chapman’s book The 5 Love Languages, there is a paucity of empirical work on love languages, and collectively, it does not provide strong empirical support for the book’s three central assumptions that (a)

Psychiatric research is undergoing significant advances in an emerging subspeciality of computational psychiatry, building upon cognitive neuroscience research by expanding to neurocomputational modeling. Here, we illustrate some research trends in this domain using work on proactive cognitive control deficits in schizophrenia as an example. We provide a selective review of formal modeling approaches

Understanding the impact that early psychosocial neglect has on the course of human development has implications for the millions of children around the world who are living in contexts of adversity. In the US, approximately 76% of cases reported to child protective services involve neglect; world-wide, there are more than 150 million orphaned or abandoned children, including 10.5 million orphaned

Forming predictions about what will happen next in the world happens early in development, without instruction, and across species. Some environments support more accurate predictions. These more predictable environments also support what appear to be positive developmental trajectories, including increases in cognitive control over thoughts and actions. Such consequences of predictable environments

This brief review examines the potential to use decision science to objectively characterize depression. We provide a brief overview of the existing literature examining different domains of decision-making in depression. Because this overview highlights the specific role of reinforcement learning as an important decision process affected in the disorder, we then introduce reinforcement learning modeling

Ovarian hormone influences on general food intake have been studied in animals for 60+ years. Yet, extensions of these data to key eating disorder symptoms in humans (e.g., binge eating (BE)) have only recently occurred. In this article, we summarize findings from studies examining the effects of ovarian hormones on BE. Findings suggest ovarian hormones contribute to BE in animals and humans, although

Decades of research have uncovered the neural basis of place (or "scene") processing in adulthood, revealing a set of three regions that respond selectively to visual scene information, each hypothesized to support distinct functions within scene processing (e.g., recognizing a particular kind of place versus navigating through it). Despite this considerable progress, surprisingly little is known about

The development of visual attention in infancy is typically indexed by where and how long infants look, focusing on changes in alerting, orienting, or attentional control. However, visual attention and looking are both complex systems that are multiply determined. Moreover, infants' visual attention, looking, and learning are intimately connected. Infants learn to look, reflecting cascading effects

The 10 things you should know about sign languages are the following: (1) Sign languages have phonology and poetry. (2) Sign languages vary in their linguistic structure and family history but shar...

We present a theoretical model that describes four explanations (mechanisms) why religious adolescents display less risk behavior than nonreligious adolescents. Specifically, religions affect the e...

Virtual intelligence is “the ability to communicate and navigate relationships and achieve business goals when engaging with others who are not physically co-present.” Virtual intelligence is parti...

Our mental experience is largely continuous on the scale of seconds and minutes. However, this continuity does not always arise from a volitional carrying forward of ideas. Instead, recent actions,...

A sizeable minority of people engage, or have engaged, in some form of consensually nonmonogamous relationship (explicit mutual agreements to have multiple emotional, romantic, and/or sexual relati...

Social scientists have begun to extensively study how living in contexts with high income inequality affects psychological outcomes. Herein we overview a conceptual framework that integrates, organ...

Empirical claims are inevitably associated with uncertainty, and a major goal of data analysis is therefore to quantify that uncertainty. Recent work has revealed that most uncertainty may lie not ...

Perception is our primary means of accessing the external world. What is the nature of this core mental process? Although this question is at the center of scientific research on perception, it has...

A cornerstone of human information processing is how we make decisions about incoming sensory percepts. Much of psychological science has focused on understanding how these judgments operate in ski...