Adolescence is a key life phase for developing well-adjusted social behaviour. An essential component of well-adjusted social behaviour is the ability to update our beliefs about the trustworthiness of others based on gathered information. Here, we examined how adolescents (n = 157, 10-24 years) sequentially sampled information about the trustworthiness of peers and how they used this information to update their beliefs about others' trustworthiness. Our Bayesian computational modelling approach revealed an adolescence-emergent increase in uncertainty of prior beliefs about others' trustworthiness. As a consequence, early to mid-adolescents (ages 10-16) gradually relied less on their prior beliefs and more on the gathered evidence when deciding to sample more information, and when deciding to trust. We propose that these age-related differences could be adaptive to the rapidly changing social environment of early and mid-adolescents. Together, these findings contribute to the understanding of adolescent social development by revealing adolescent-emergent flexibility in prior beliefs about others that drives adolescents' information sampling and trust decisions.
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http://dx.doi.org/10.1038/s41598-022-09477-2 | DOI Listing |
J Exp Psychol Gen
January 2025
Department of Cognitive and Psychological Sciences, Brown University.
Faces-the most common and complex stimuli in our daily lives-contain multidimensional information used to infer social attributes that guide consequential behaviors, such as deciding who to trust. Decades of research illustrates that perceptual information from faces is processed holistically. An open question, however, is whether goals might impact this perceptual process, influencing the encoding and representation of the complex social information embedded in faces.
View Article and Find Full Text PDFFront Big Data
December 2024
School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, Kerala, India.
Introduction: The rapid escalation of cyber threats necessitates innovative strategies to enhance cybersecurity and privacy measures. Artificial Intelligence (AI) has emerged as a promising tool poised to enhance the effectiveness of cybersecurity strategies by offering advanced capabilities for intrusion detection, malware classification, and privacy preservation. However, this work addresses the significant lack of a comprehensive synthesis of AI's use in cybersecurity and privacy across the vast literature, aiming to identify existing gaps and guide further progress.
View Article and Find Full Text PDFJ R Soc N Z
March 2024
Department of Medicine, University of Auckland, Auckland, New Zealand.
Trustworthy literature is an essential part of knowledge, evidence-based information, and science. However, publications can contain mistakes or have results from unreliable research, which may compromise their integrity. In this review, we discuss publication integrity, with a focus on our field of biomedicine, and how it could be improved.
View Article and Find Full Text PDFHeliyon
December 2024
Department of Psychology, University of Oklahoma, Norman, OK, USA.
J Pers Soc Psychol
December 2024
Booth School of Business, University of Chicago.
Much research has found self-awareness to be associated with positive qualities, but we explore cases in which self-awareness sends a negative signal to others. Specifically, we propose that when a target person appears to be high in social self-awareness-that is, the person seems to accurately know what others think of them-observers infer that the target's actions are more because the target is acting while seeming to know what others think of their actions. Because perceived intent is the key input to trust judgments, perceived self-awareness impacts observers' trust toward the target but does so differently depending on whether the target behaves in ways that positively or negatively impact others.
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