Information Processing Biases Research Articles

Investigating Trajectories Linking Social Cognitive Capacity, Bias, and Social Isolation Using Computational Modeling.

Despite theoretical emphasis on loneliness affecting social information processing, empirical studies lack consensus. We previously adopted a clinical science framework to measure the association between social cognitive capacity and both objective and perceived social isolation in nonclinical participants. Our prior study found that while objective social isolation is linked to both social cognitive capacity and bias, loneliness is associated only with the latter. This study extended our previous model using a computational approach to capture implicit cognitive processes. We replicated and extended our earlier findings with a new sample of 271 participants, using neuropsychological tasks and a dot-probe paradigm analyzed via Drift Diffusion Model. We presented two complementary trajectories of how social cognitive bias may arise: the increased propensity to engage with salient social stimuli or a decreased information processing capacity dependent on the presence or absence of potential social threats. Furthermore, we found evidence that loneliness is associated with the time needed for perceptual processing of stimuli, both directly and indirectly, via social cognitive bias. Taken together, the complex and context-dependent nature of information processing biases observed in the current study suggests that complex and multifaceted interventions should be implemented to counter social information processing biases in lonely individuals.

The Psychology of Misinformation Across the Lifespan

Ubiquitous misinformation on social media threatens the health and well-being of young people. We review research on susceptibility to misinformation, why it spreads, and how these mechanisms might operate developmentally. Although we identify many research gaps, results suggest that cognitive ability, thinking styles, and metacognitive scrutiny of misinformation are protective, but early adverse experiences can bias information processing and sow seeds of mistrust. We find that content knowledge is not sufficient to protect against misinformation, but that it, along with life experiences, provides a foundation for gist plausibility (true in principle, rather than true at the level of verbatim details) that likely determines whether misinformation is accepted and shared. Thus, we present a theoretical framework based on fuzzy-trace theory that integrates the following: knowledge that distinguishes verbatim facts from gist (knowledge that is amplified by cognitive faculties and derived from trusted sources); personality as an information-processing filter colored by experiences; emotion as a product of interpreting the gist of information; and ideology that changes prior probabilities and gist interpretations of what is plausible. The young and the old may be at greatest risk because of their prioritization of social goals, a need that social media algorithms are designed to meet but at the cost of widespread exposure to misinformation.

Making the Grade: Policy Design and Effects of Information about Government Performance

AbstractIncreasingly, governments report on public service quality, which has the potential to inform evaluations of performance that underlie voters’ opinions and behaviors. We argue these policies have important effects that go beyond informing voters. Specifically, we contend that the format in which policymakers choose to report information will steer the direction of opinion by exacerbating or mitigating biases in information processing. Using the case of school accountability systems in the United States and a variety of experimental and observational approaches, we find that letter grade systems for rating public school performance, as opposed to other reporting formats, exacerbate negativity bias. Public opinion proves more responsive to negative information than to positive information in letter grade systems than in alternate formats. Policymakers, then, do not simply inform public opinion; rather, their decisions about how to present information shape the interpretations that voters ultimately draw from the information provided.

Fact-checking in the age of AI: Reducing biases with non-human information sources

This study examines the obstacles to the effectiveness of fact-checking, focusing primarily on the pervasive impact of entrenched biases. Fact-checking efforts often face resistance when linked to mistrusted sources, leading to cognitive dissonance and the rejection of messages in favor of pre-existing beliefs, a phenomenon known as motivated reasoning. This resistance hinders organizations’ ability to correct misconceptions surrounding social issues and entities. The research delves into whether non-human entities such as AI can facilitate less biased information processing due to their perceived impartiality. Applying a moderated mediation model in experimental settings, we found that labeling a source as artificial intelligence is pivotal in evaluating fact-checking. AI labels moderate the impact of partisan biases on the persuasive outcomes of fact-checks, such as message credibility and acceptance, compared to the human source. This study offers valuable insights for enhancing the effectiveness of fact-checking in the context of cognitive and psychological biases by highlighting the critical influence of information sources in reducing polarization in public perceptions of scientific issues.

Emergence of information aggregation to rational expectations equilibria in markets populated by biased heuristic traders

Information aggregation is a key economic function of markets. We report results of a computational experiment with markets populated by simple algorithmic traders who follow two heuristics usually thought of as leading to biased information processing in behavioral economics literature (anchor-and-adjust, and representativeness). Outcomes of these markets either tend to cluster around (or fail to do so) rational expectations equilibria under specific conditions, consistent with markets populated by profit-motivated human traders. Algorithmic trader convergence is slower and noisier than that of human traders. Our results illustrate the emergence of rational expectations equilibria through complex interactions among actions of biased heuristic traders with limited information processing capabilities.

Fathers' rejection sensitivity: Links with fathers' and children's social information processing

AbstractObjectiveJoining efforts to reveal how fathers affect their children's social competence, we examined whether fathers' rejection sensitivity was associated with biases in their children's social information processing. We also explored whether this link was indirect via biases in fathers' social information processing of their children's peer interactions and, in particular, fathers' behavioral responses.BackgroundChildren's social information processing biases predict their social competence and well‐being. Studies have explored how mothers' rejection sensitivity may impact children's social information processing. Yet, little is known about the role of fathers in this context.MethodParticipants were 85 fathers living in Israel (68.24% Jewish; 31.76% Arab) and their kindergarten children (55.29% female; MChild age in months = 68.70, SD = 5.59). Fathers completed the Adult Rejection Sensitivity Questionnaire and reported their attributions, emotions, and likely behaviors in ambiguous hypothetical scenarios that might suggest a rejection of their child by peers using the Peer Rejection Scenarios measure. Children were interviewed using the Social Information Processing Interview–Preschool Version, tapping hypothetical peer interactions.ResultsFathers' rejection sensitivity was indirectly related to children's generation of maladaptive responses to ambiguous peer interactions through fathers' reports of their more negative emotions and overinvolved behavioral responses.ConclusionResults underscore the role of fathers' rejection sensitivity and emotional and behavioral responses in children's social information processing.ImplicationsThe study points to the need to consider paternal rejection sensitivity in research and interventions focused on promoting children's social competence.

A cognitive-behavioral treatment for suicide prevention among adults with schizophrenia spectrum disorders in community mental health: Study protocol for a pilot feasibility and acceptability randomized clinical trial

BackgroundSuicide is among the leading causes of death for adults with schizophrenia spectrum disorders (SSDs), and there is a paucity of evidence-based suicide prevention-focused interventions tailored for this vulnerable population. Cognitive-Behavioral Suicide Prevention for psychosis (CBSPp) is a promising intervention developed in the UK that required modifications for delivery in community mental health (CMH) settings in the United States of American. This pilot trial evaluates the feasibility, acceptability, and preliminary effectiveness of our modified CBSPp intervention in comparison to services as usual (SAU) within a CMH setting in a Midwestern state of the USA.MethodsThis is a single-site randomized pilot trial with a planned enrollment of 60 adults meeting criteria for both SSD and SI/A. Eligible participants will be randomized 1:1 to either 10 sessions of CBSPp or SAU. Clinical and cognitive assessments will be conducted within a 4-waive design at baseline (prior to randomization and treatment) and approximately 1 month (mid-treatment), 3 months (post-treatment), and 5 months (follow-up) after baseline assessment. Qualitative interviews will also be conducted at post-treatment. The primary objective is to determine whether CBSPp is feasible and acceptable, involving examinations of recruitment rate, treatment engagement and adherence, retention and completion rates, and experiences in the CBSPp treatment and overall study. The secondary objective is to preliminarily evaluate whether modified CBSPp is associated with reductions in clinical (suicide ideation, suicide attempt, symptoms of psychosis, depression, and emergency/hospital service, hopelessness, defeat, and entrapment) and cognitive (information processing biases, appraisals, and schemas) outcomes in comparison to SAU from baseline to post-treatment assessment.DiscussionThis randomized pilot trial will provide clinically relevant information about whether CBSPp can improve SI/A, depression, and psychosis among adults with SSDs. Testing this modified cognitive-behavioral suicide prevention-focused intervention has the potential for a large public health impact by increasing the intervention’s utility and usability in CMH where many individuals with SSDs receive care, and ultimately working towards reductions in premature suicide death.Trial registrationClinicalTrials.gov NCT#05345184. Registered on April 12, 2022.

Computational modeling of social evaluative decision-making elucidates individual differences in adolescent anxiety.

Adolescents experience significant developmental changes during a time of heightened sensitivity to social cues, particularly rejection by peers, which can be especially overwhelming for those with elevated levels of social anxiety. Social evaluative decision-making tasks have been useful in uncovering the neural correlates of information processing biases; however, linking youths' task-based performance to individual differences in psychopathology (e.g., anxiety symptoms) has proven more elusive. Here, we address this weakness with drift diffusion modeling to decompose youths' performance on the social judgment paradigm (SJP) to determine if this approach is useful in discovering individual differences in anxiety symptoms, as well as puberty, age, and sex. A sample of 103 adolescents (55 males, Mage = 14.49, SD = 1.69) completed the SJP and self-report measures of anxiety, as well as self- and parent-reported measures of puberty. The decision threshold parameter, reflecting the amount of evidence needed to make a social evaluative decision, predicted youth self-reported anxiety, above and beyond typical metrics of SJP performance. Our results highlight the potential advantage of parsing task performance according to the underlying cognitive processes. Future research would likely benefit from applying computational modeling approaches to social judgment tasks when attempting to uncover performance-based individual differences in psychopathology.

Implicit measures of suicide vulnerability: Investigating suicide-related information-processing biases and a deficit in behavioral impulse control in a high-risk sample and healthy controls

ObjectiveRelevant implicit markers of suicidal thoughts and behaviors (STBs) have only been studied in isolation with mixed evidence. This is the first study that investigated a suicide attentional bias, a death-identity bias and a deficit in behavioral impulsivity in a high-risk sample and healthy controls. MethodWe administered the Death Implicit Association Test, the Modified Suicide Stroop Task, and a Go/No-Go Task to inpatient suicide ideators (n = 42), suicide attempters (n = 40), and community controls (n = 61). ResultsSuicide ideators and attempters showed a suicide attentional bias and a death-identity bias compared to healthy controls. Ideators and attempters did not differ in these implicit information-processing biases. Notably, only attempters were more behaviorally impulsive compared to controls; however, ideators and attempters did not significantly differ in behavioral impulsivity. Moreover, implicit scores were positively intercorrelated in the total sample. ConclusionIn line with the Cognitive Model of Suicide, ideators and attempters display suicide-related information processing biases, which can be considered as implicit cognitive markers of suicide vulnerability. Furthermore, attempters have elevated levels of behavioral impulsiveness. These results are highly relevant in the context of crisis intervention strategies and warrant further research.

Influence of information processing bias on investment decision of equity investors at Nairobi securities exchange in Kenya

The goal of the study was to established the influence of information processing bias on investment decision of equity investors at Nairobi Securities Exchange. The study improved the existing finance literature, which increased the body of general knowledge. Researchers and aspiring academics would utilize the findings as a future source of reference for expanding their understanding of behavioral finance. This study employed regret aversion theory, descriptive research design applied in this research and the stratified random sampling technique. In this study, primary data was also employed. SPSS version 26 (Statistical Package for Social Science) was used for data analysis. Descriptive, correlation as well as regression analysis were undertaken and outcome was offered in tables followed by pertinent interpretation and discussion. The most influential variable was Market’s competition-related information with a regression coefficient of 0.502 (p-value = 0.027) and lastly Product’s market potential-information with a coefficient of 0.403 (p-value = 0.041). The study concludes that information processing bias holds a significant and influential role in shaping investment decisions among equity investors at the Nairobi Securities Exchange. Thus, it can be concluded that understanding and leveraging product market potential can positively impact investment decisions. It is crucial for investors to carefully assess market competition dynamics to maximize investment returns. This study also implies that by analyzing investor behavior, company management Can further evaluate capital markets' performance of stocks and adjust policies and strategies appropriately.

Public service users’ responses to performance information: Bayesian learning or motivated reasoning?

Abstract Although performance information is widely promoted to improve the accountability of public service provision, behavioral research has revealed that motivated reasoning leads recipients to update their beliefs inaccurately. However, the reasoning processes of service users have been largely neglected. We develop a theory of public service users’ motivated reasoning about performance information stemming from their identification with the organization providing their services. We address a significant challenge to studying motivated reasoning—that widely used existing research designs cannot rule out alternative cognitive explanations, especially Bayesian learning, such that existing findings could be driven by strong prior beliefs rather than biased processing of new information. We use a research design incorporating Bayesian learning as a benchmark to identify departures from accuracy motivated reasoning process. We assess the empirical implications of the theory using a preregistered information provision experiment among parents with children using public schools. To assess their identity-based motivated reasoning, we provide them with noisy, but true, performance information about their school. Overall, we find no evidence of directionally motivated reasoning. Instead, parents change their beliefs in response to performance feedback in a way that largely reflects conservative Bayesian learning. Performance reporting to service users is less vulnerable to motivational biases in this context than suggested by the general literature on motivated reasoning. Furthermore, exploratory findings show that performance information can correct erroneous beliefs among misinformed service users, suggesting that investment in reporting performance to service users is worthwhile to inform their beliefs and improve accountability.

Biases in Information Selection and Processing: Survey Evidence from the Pandemic

Abstract We conduct two survey experiments to study which information people choose to consume and how it affects their beliefs. In the first experiment, respondents choose between optimistic and pessimistic article headlines related to the COVID-19 pandemic and are then randomly shown one of the articles. Respondents with more pessimistic prior beliefs tend to prefer pessimistic headlines, providing evidence of confirmation bias. Additionally, respondents assigned to the less preferred article discount its information. The second experiment studies the role of partisan views, uncovering strong source dependence: news source revelation further distorts information acquisition, eliminating the role of priors in article choice.

Can you have it both ways? Attribution and plausible deniability in unclaimed coercion

Abstract States and non-state actors conduct unclaimed coercive attacks, inflicting costs on adversaries to signal resolve to prevail in a dispute while refraining from claiming or denying responsibility. Analysts argue that targets often know who is responsible, which enables coercive communication, and that the lack of claims of responsibility grants coercers plausible deniability in the eyes of third parties. The puzzle of different audiences holding different beliefs about who is behind an unclaimed attack, even when they may have the same information, has been neglected. We address this puzzle by theorising that targets and third parties tend to reach different conclusions due to distinct emotional reactions: targets are more likely to experience anger, which induces certainty and a desire to blame someone, as well as heuristic and biased information processing, prompting confident attribution despite the limited evidence. A vignette-based experiment depicting a terrorist attack lends empirical plausibility to our argument.

The association between psychopathology, childhood trauma, and emotion processing.

Childhood trauma is highly prevalent and can have a negative impact on the development of socioemotional processes resulting in a higher vulnerability for mental disorders in adulthood. Previous studies have associated the severity of childhood trauma with deficits in social functioning, such as a negative attention bias, suggesting altered social information processing as a mechanism underlying the association between childhood trauma and transdiagnostic psychopathologies. In a cross-sectional setup with a total of 103 participants (26 with major depressive disorder, MDD; 24 with posttraumatic stress disorder, PTSD; 22 with somatic symptom disorder, SDD; and 31 healthy volunteers, HV), this study applied eye tracking in an emotion recognition paradigm. Reaction times, accuracy, and gaze behavior were analyzed for 4 different facial expressions as a function of self-reported childhood trauma and diagnosis. The aim was to investigate to what extent emotion processing is associated with (a) childhood trauma, (b) psychopathology, and (c) respective interacting effects. Patients showed higher reaction times and error rates overall in classifying emotions than HVs, especially for the recognition of anger and fear. Individuals with a diagnosis of PTSD and MDD were particularly slow in their response to these emotions. Higher scores of reported childhood trauma were associated with faster responses for classifying anger and fear and slower initiation of eye movements for SSD, MDD, and HVs for anger. These findings indicate that childhood trauma may contribute to attentional and information-processing biases relevant for social interaction. Identifying individual social deficits offers implications for tailored therapeutic interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Information Processing Biases and Attachment Styles in Adolescents with Dissociative Disorders.

Dissociative disorders invade and interfere with the person's continuity of normal psychological functioning and exhibit slower or impaired processing of threat-related information and attachment styles play a significant role in their psychopathology. The present study assessed the type of attachment style and information processing biases and their relationship in adolescents with dissociative disorders. This was a hospital-based study, with a cross-sectional design based on purposive sampling. The study consisted of 50 participants between 11 and 17 years of age. Twenty-five of them were adolescents diagnosed with dissociative disorders and 25 were healthy adolescent controls. The Adolescent Dissociative Experiences Scale was used to assess the severity of dissociative disorders in adolescents. Emotional Stroop, Emotion Face dot-probe task and attachment style questionnaires were administered. Findings suggested an association between the scores in the attachment style dimension of discomfort with closeness and information-processing biases in both the dot-probe and emotional Stroop tasks. There was also an association between the processing bias in the dot-probe task and relationships as a secondary attachment dimension. There was a difference in the two groups of adolescents with dissociative disorders and matched healthy adolescents with respect to the discomfort with closeness attachment style and information-processing bias scores of the dot-probe task. The study provides interesting insights into how information-processing biases correlate to attachment styles in adolescents with dissociative disorders. Results indicate extensive resources for future management.

The Big Three diagnostic errors through reflections of Japanese internists.

To analyze the Big Three diagnostic errors (malignant neoplasms, cardiovascular diseases, and infectious diseases) through internists' self-reflection on their most memorable diagnostic errors. This secondary analysis study, based on a web-based cross-sectional survey, recruited participants from January 21 to 31, 2019. The participants were asked to recall the most memorable diagnostic error cases in which they were primarily involved. We gathered data on internists' demographics, time to error recognition, and error location. Factors causing diagnostic errors included environmental conditions, information processing, and cognitive bias. Participants scored the significance of each contributing factor on a Likert scale (0, unimportant; 10, extremely important). The Big Three comprised 54.1 % (n=372) of the 687 cases reviewed. The median physician age was 51.5 years (interquartile range, 42-58 years); 65.6 % of physicians worked in hospital settings. Delayed diagnoses were the most common among malignancies (n=64, 46 %). Diagnostic errors related to malignancy were frequent in general outpatient settings on weekdays and in the mornings and were not identified for several months following the event. Environmental factors often contributed to cardiovascular disease-related errors, which were typically identified within days in emergency departments, during night shifts, and on holidays. Information gathering and interpretation significantly impacted infectious disease diagnoses. The Big Three accounted for the majority of cases recalled by Japanese internists. The most relevant contributing factors were different for each of the three categories. Addressing these errors may require a unique approach based on the disease associations.

A theory of the neural mechanisms underlying negative cognitive bias in major depression.

The widely acknowledged cognitive theory of depression, developed by Aaron Beck, focused on biased information processing that emphasizes the negative aspects of affective and conceptual information. Current attempts to discover the neurological mechanism underlying such cognitive and affective bias have successfully identified various brain regions associated with severally biased functions such as emotion, attention, rumination, and inhibition control. However, the neurobiological mechanisms of how individuals in depression develop this selective processing toward negative is still under question. This paper introduces a neurological framework centered around the frontal-limbic circuit, specifically analyzing and synthesizing the activity and functional connectivity within the amygdala, hippocampus, and medial prefrontal cortex. Firstly, a possible explanation of how the positive feedback loop contributes to the persistent hyperactivity of the amygdala in depression at an automatic level is established. Building upon this, two hypotheses are presented: hypothesis 1 revolves around the bidirectional amygdalohippocampal projection facilitating the amplification of negative emotions and memories while concurrently contributing to the impediment of the retrieval of opposing information in the hippocampus attractor network. Hypothesis 2 highlights the involvement of the ventromedial prefrontal cortex in the establishment of a negative cognitive framework through the generalization of conceptual and emotional information in conjunction with the amygdala and hippocampus. The primary objective of this study is to improve and complement existing pathological models of depression, pushing the frontiers of current understanding in neuroscience of affective disorders, and eventually contributing to successful recovery from the debilitating affective disorders.

Communicating socially acceptable risk judgments: The role of impression information insufficiency in the risk information seeking and processing model

AbstractThe COVID‐19 pandemic has created uncertainty and controversy around risk‐related issues such as vaccine mandates. People expressing their opinions on these issues to important others, such as employers, may face significant consequences, such as rewards or rejection. Therefore, people may try to find, avoid, or use information in a way that helps them express risk judgments that are socially acceptable in different social situations. This study investigated how people seek, avoid, and process risk information when they are concerned about their impression management. It also introduced the concept of impression information insufficiency (the perceived gap between the information one has and the information one needs to convey socially acceptable judgments and meet interpersonal needs in social situations) and examined its antecedents and outcomes within the risk information seeking and processing model. We conducted an online survey with 1673 Hong Kong adults during the COVID‐19 pandemic. The results showed that fear and social norms related to greater impression information insufficiency, which thereby was associated with biased risk information seeking, avoidance, and processing.

The roots of polarization in the individual reward system.

Polarization raises concerns for democracy and society, which have expanded in the internet era where (mis)information has become ubiquitous, its transmission faster than ever, and the freedom and means of opinion expressions are expanding. The origin of polarization however remains unclear, with multiple social and emotional factors and individual reasoning biases likely to explain its current forms. In the present work, we adopt a principled approach and show that polarization tendencies can take root in biased reward processing of new information in favour of choice confirmatory evidence. Through agent-based simulations, we show that confirmation bias in individual learning is an independent mechanism and could be sufficient for creating polarization at group level independently of any additional assumptions about the opinions themselves, a priori beliefs about them, information transmission mechanisms or the structure of social relationship between individuals. This generative process can interact with polarization mechanisms described elsewhere, but constitutes an entrenched biological tendency that helps explain the extraordinary resilience of polarization against mitigating efforts such as dramatic informational change in the environment.

Nicotine-related interpretation biases in cigarette smoking individuals.

Addictive behaviors are characterized by information processing biases, including substance-related interpretation biases. In the field of cigarette smoking, such biases have not been investigated yet. The present study thus adopted an open-ended scenario approach to measure smoking-related interpretation biases. Individuals who smoke, those who ceased smoking, and those without a smoking history (total sample N = 177) were instructed to generate spontaneous continuations for ambiguous, open-ended scenarios that described either a smoking-related or neutral context. Overall, people who smoke generated more smoking-related continuations in response to smoking-relevant situations than non-smoking individuals or people who had stopped smoking, providing evidence for a smoking-related interpretation bias. When differentiating for situation type within smoking-relevant scenarios, smoking individuals produced more smoking-related continuations for positive/social and habit/addictive situations compared to negative/affective ones. Additionally, the tendency to interpret habit/addictive situations in a smoking-related manner was positively associated with cigarette consumption and levels of nicotine dependence. Exploratory analyses indicated that other substance-related continuations were correlated with their respective behavioral counterparts (e.g., the level of self-reported alcohol or caffeine consumption). The present study is the first to demonstrate smoking-related interpretation biases in relation to current cigarette smoking. Future studies should investigate the causal role of such biases in the initiation and/or maintainance of nicotine addiction and the merit of Interpretation-Bias-Modification training to support smoking cessation.