I checked 15 psychology journals on Wednesday, April 08, 2026 using the Crossref API. For the period April 01 to April 07, I found 60 new paper(s) in 10 journal(s).

Behavior Research Methods

An illustrative guide to expressing cognitive theories using evidence accumulation modelling
Luke Strickland, Russell J. Boag, Niek Stevenson, Andrew Heathcote
Full text
Evidence accumulation models (EAMs) explain and predict human choices and response times in a way that maps more directly to cognitive processes than traditional analyses. For example, EAMs can separate the speed–accuracy trade-off from processing capacity. However, little guidance is available regarding how to use EAMs to instantiate cognitive process theories, which often involve complex mappings of parameters to experimental designs. This tutorial illustrates how to embed such theories using the R package EMC2. We show how the effects of cognitive processes can be estimated by mapping EAM parameters to experimental designs using an augmented linear model language. We demonstrate with two examples. The first instantiates a theory of prospective memory. The second instantiates a theory of how humans integrate advice from automated decision aids into their choices. We then show how to combine these two different theories in a unified framework. We conclude by discussing further directions for theory embedding, including non-linear mappings from stimulus values to EAM parameters and the incorporation of trial-by-trial dynamics.
When the meaningless make sense: Wordlikeness and affective norms for 4,800 pseudowords and 1,200 Spanish words
Celia Martínez-Tomås, Marc Guasch, Pilar Ferré, Miguel Låzaro, José Antonio Hinojosa
Full text
Most research using pseudowords has focused on the contribution of sublexical properties to the study of word processing. However, recent evidence suggests that pseudowords can also provide insights into the semantic and emotional aspects of language processing. Research in this field would greatly benefit from datasets providing estimations for pseudoword stimuli in the various lexicosemantic variables that have been shown to affect word recognition. Such datasets are currently lacking. In the present study, we introduce normative data for 4,800 pseudowords and 1,200 Spanish words, which were rated by 1,210 participants on three dimensions: wordlikeness, valence, and arousal. The stimuli were derived from emotional and neutral base words, and the morphological structure of the pseudowords was manipulated to create four versions combining real roots and suffixes with non-roots and non-suffixes. Additionally, we computed the normalized Levenshtein distance, the number of orthographic neighbors, and the mean Levenshtein distance to the 20 closest orthographic neighbors (OLD20) to examine the influence of objective measures on perceived wordlikeness. The results showed that the morphological structure of the pseudowords had a gradual effect on wordlikeness, valence, and arousal scores, with those combining real roots and suffixes being rated the highest. Furthermore, affective variables were found to consistently predict perceived wordlikeness ratings, whereas objective measures only accounted for a small proportion of the variance. This empirically validated set of well-controlled pseudowords is a valuable resource for researchers interested in the effects of morphology and affect on word processing. The complete database can be downloaded from: https://osf.io/baues/ .
Moderated mediation with composites: The composite moderated structural equations approach
Tamara Schamberger, Florian Schuberth, Jörg Henseler
Full text
Moderated mediation models are crucial in many disciplines, particularly the social sciences. Researchers use them to analyze the conditions under which different variables are related. Structural equation modeling (SEM) is an eminently suitable framework for this endeavor. In fact, several approaches have been proposed and extended to model moderated mediation effects involving reflectively measured latent variables. However, approaches to modeling moderated mediation involving unknown-weight composites (i.e., weighted linear combinations of variables whose weights are estimated freely) are limited in either model specification or model assessment. Unknown-weight composites are used, for example, to model formative constructs or collections of heterogeneous causes. In this study, we propose composite moderated structural equations (CMS), a new approach that combines latent moderated structural equations (LMS), the standard SEM approach for estimating moderation effects among latent variables, with the H–O specification, a recently introduced specification for flexibly modeling composites. A Monte Carlo simulation demonstrates the performance of CMS and confirms that CMS enables researchers to flexibly model and estimate moderated mediation effects involving unknown-weight composites.
Author Correction: Attention in hindsight: Using stimulated recall to capture dynamic fluctuations in attentional engagement
Effie J. Pereira, Samantha Ayers-Glassey, Jeffrey D. Wammes, Daniel Smilek
Full text

Computers in Human Behavior

Humans incorrectly reject confident accusatory AI judgments
Riccardo Loconte, Merylin Monaro, Pietro Pietrini, Bruno Verschuere, Bennett Kleinberg
Full text
Deepfaking the past: Memory and perceived truth of resurrected historical figures
MarĂ­a T. Soto-Sanfiel, Gina Junhan Fu
Full text
Mapping the symptom structure of internet gaming disorder among adolescents: Insights from network and Bayesian graph analyses
Firoj Al-Mamun, Moneerah Mohammad ALmerab, Mohammed A. Mamun
Full text
For whom does online social support matter most? Exploring the joint moderating roles of depressive symptoms and physical functioning in the relationship between online social support and quality of life
Juwon Hwang
Full text
Risk profiles for the perpetration of non-consensual sharing of sexual content among Spanish adolescents: a cross-sectional and longitudinal study
Estrella Durån-Guerrero, Virginia Sånchez-Jiménez, Noelia Muñoz-Fernåndez
Full text
Does transparency matter when an AI system meets performance expectations? An experiment with an online dating site
Yuan Sun, Mengqi (Maggie) Liao, S. Shyam Sundar, Joseph B. Walther
Full text
Exploring protective and risk factors for a positive sexting experience among young adults – insights from the SEX-THINK! Project
Barbara Agueli, Immacolata Di Napoli, Marcella Autiero, Nicole Bellanca, Alice Lucarini
Full text
Altered uncertainty processing during adaptive learning in internet gaming disorder
Yi-Xu Pang, Lei Zhang, Yuan-Wei Yao, Marc N. Potenza, Lu Liu
Full text
Game on or gone too far? Executive functioning and implicit sequence learning in problematic vs. recreational gamers
Krisztina Berta, Zsuzsanna ViktĂłria Pesthy, TeodĂłra VĂ©kony, Bence Csaba Farkas, Orsolya KirĂĄly, Zsolt Demetrovics, DezsƑ NĂ©meth, Bernadette Kun
Full text
Think twice, scroll once: Encouraging critical reflection as a shield against health misinformation and overgeneralized messaging by social media influencers
Jaroslava Kaƈkovå, Jörg Matthes
Full text
Personalizing explanations in AI-based decisions: The effects of personalization and (mis)aligning with individual preferences
Richard Uth, Nelli Niemitz, Isabel Valera, Markus Langer
Full text
Negative perceptions of outsourcing to artificial intelligence
Scott Claessens, Pierce Veitch, Jim A.C. Everett
Full text
To share or not to share, that is the (moral) question: How moral frames and bystander cues shape health misinformation correction sharing on social media
Yujie Dong, Wu Li
Full text
Perceptions of sexualized deepfake abuse across three nations: An exploration of how victim gender and race shape attitudes towards deepfake abuse in the United States, the United Kingdom, and Australia
Asia A. Eaton, Adrian J. Scott, Asher Flynn, Anastasia Powell
Full text
Association between school phone restriction policies and adolescents’ cyberbullying, gambling, and substance use behaviors
Szu-Chia Chen, Tzu-Fu Huang, Kevin Chang, Fong-Ching Chang, Shawn C. Chiang, Chiung-Hui Chiu, Ping-Hung Chen, Nae-Fang Miao, Hung-Yi Chuang
Full text
Science communication in social Media: Analysis of success on TikTok, Instagram, and YouTube across scientific disciplines
Montserrat Aiger, Carmen Elboj, Raquel Lozano-Blasco, Marian Acero-Ferrero
Full text
Gamified feedback in adaptive retrieval practice: Points and progress-bars enhance motivation but not learning
Gesa S. E. van den Broek, Stefanie Scholten, Bente van Thuil, Hedderik van Rijn, Tamara van Gog, Maarten van der Velde
Full text
Know thyself through data: Improving WhatsApp interaction awareness with data-driven visualizations
Olya Hakobyan, Hanna Drimalla
Full text
Bridging or broadening Gaps? AI-Assisted professional writing among native and non-native English Writers
Inyoung Shin, Hyesun Choung, Mina Choi
Full text
Adolescent social media use profiles: A longitudinal study of friendship quality and socio-motivational factors
Federica Angelini, Ina M. Koning, Gianluca Gini, Claudia Marino, Regina J.J.M. van den Eijnden
Full text
From facial expressions to academic performance: Affective computing reveals the serial mediating roles of emotional valence and self-regulated learning
Ruchang Miao, Peijia Yang, Shuna Li, Kaizhen Kong, Xiangting Wang
Full text
Content camouflage: How diversified posting patterns influence human detection of AI-enabled social bots
C.J. Saucier, M. Wack, D. Linvill, A. Okoronkwo, G. Tatineni, A. Sezgin
Full text
Dating app use, psychological health, and psychological well-being: A systematic review and quantitative meta-analysis
Liesel L. Sharabi, Lihong Ou, Paige A. Von Feldt, Thomas D. Parsons
Full text
The Trusted Partner for financial decision making: Romantic partner or AI?
Erik Hermann, Max Alberhasky
Full text
Choose to think: Nudging towards privacy informed decisions at the app download stage
Jennifer KlĂŒtsch, Verena Zimmermann, Sabine J. Schlittmeier
Full text
Neural correlates of how different emotional reactions elicited by emojis influence facial expression processing
Mingkui Yang, Chunying Qiu, Weihan Wang, Xinchao Yang, Qiang Xu
Full text

Group Processes & Intergroup Relations

A consistent but highly varied androcentric bias in the visual representation of “typical” faces
Daniel N. Albohn, Alexander Todorov
Full text
Decades of research have shown that androcentric bias (i.e., assuming that men represent the default) is prevalent across text, images, and social interactions. Despite this evidence, recent research on the mental imagery of faces shows an opposite of the expected androcentric bias: Mental representations of “typical” faces appear more like women than men. In the present research, we first aim to reconcile this apparent discrepancy by examining the mental imagery associated with typical persons using generative reverse correlation—a data-driven method that leverages artificial intelligence to construct photo-realistic imagery of visual stereotypes for both groups and individuals. Second, we explore potential reasons for the observed reversal in mental imagery by examining individual differences in typicality judgments. Across two studies, our results show (1) individuals tend to equate “typical persons” with “men” in their mental representations at the group-level; but (2) there is large individual-level variability in both “typical person” mental imagery and explicit “typicality” judgments that complicates conclusions drawn from aggregate-level data.

Journal of Experimental Social Psychology

Unequal participation: How low socioeconomic status hinders political engagement
Rodrigo Furst, Yan Vieites, Bernardo Andretti
Full text
Beyond confronting: Cultivating inclusion through proactive Allyship
Lucy De Souza, Toni Schmader
Full text

Journal of Personality and Social Psychology

Finding agreement: Functional magnetic resonance imaging hyperscanning reveals that mental state space exploration facilitates opinion alignment.
Sebastian P. H. Speer, Haran Sened, Laetitia Mwilambwe-Tshilobo, Lily Tsoi, Shannon M. Burns, Emily B. Falk, Diana I. Tamir
Full text
How watching sports shapes zero-sum thinking: Correlational, experimental, and longitudinal evidence.
Jinseok S. Chun, Hemant Kakkar, Aaron C. Kay
Full text
Overestimating the social costs of political belief change.
Trevor Spelman, Abdo Elnakouri, Nour Kteily, Eli J. Finkel
Full text
The interpersonal consequences of community gatekeeping.
Evan Weingarten, Rachel Gershon, Amit Bhattacharjee
Full text
Self-essentialism underlies social projection to unfamiliar similar others.
Charles Chu, Lydia Needy, Rebecca Schlegel
Full text
Goal harmony.
Jiabi Wang, Ayelet Fishbach
Full text
“Me in a nutshell”: Exploring the content and properties of central traits.
Elizabeth U. Long, Norhan Elsaadawy, Erika N. Carlson, Marc A. Fournier
Full text
Personality and mortality risk: A systematic review and meta-analysis of longitudinal data.
MĂĄire McGeehan, Angelina R. Sutin, Stephen Gallagher, Antonio Terracciano, Nicholas A. Turiano, Elayne Ahern, Emma M. Kirwan, Martina Luchetti, Eileen K. Graham, PĂĄraic S. O'SĂșilleabhĂĄin
Full text
Talking about what we support versus oppose affects others’ openness to our views.
Rhia Catapano, Zakary L. Tormala
Full text
Personality trait change in three sub-Saharan countries: Normative development and life events.
Peter Haehner, Luzelle Naudé, Christopher J. Hopwood, Catherine M. Shirima, Sumaya Laher, Elizabeth N. Shino, Stephen Asatsa, Maria Florence, Tracey-Ann Adonis, Wiebke Bleidorn, Amber G. Thalmayer
Full text
Observers (and transgressors) prefer creative punishments.
Timothy G. Kundro, Salvatore J. Affinito, Daniela Rodriguez-Mincey
Full text
Truth over falsehood: Experimental evidence on what persuades and spreads.
Nicolas Fay, Keith J. Ransom, Bradley Walker, Piers D. L. Howe, Andrew Perfors, Yoshihisa Kashima
Full text

Multivariate Behavioral Research

A State Space Model of Daily Dynamics with Moderation Effects from Qualitative Text Data
Samuel D. Aragones, Emorie D. Beck, Emilio Ferrer
Full text

Psychological Methods

Handling missing values when using neighborhood selection for network analysis.
Kai Jannik Nehler, Martin Schultze
Full text
Heteroskedasticity-robust inference in Bayesian linear regression via the generalized method of moments.
Weicong Lyu
Full text
Modeling intraindividual variability as a predictor with intensive longitudinal data.
Lijuan Wang, Xiao Liu
Full text
You cannot just count: A statistical rethinking of semantic richness in free-generation tasks and semantic norms.
Rodrigo Lagos, Sergio E. Chaigneau, Enrique Canessa, Felipe Toro-HernĂĄndez, Anny Bontempo, Maria T. Carthery-Goulart, Felipe A. Medina MarĂ­n
Full text
Variable selection for explaining interindividual heterogeneity in longitudinal growth trajectories.
Qian Zhang, Haochen Lei, Palmer Swanson, Hongyuan Cao, Elizabeth H. Slate
Full text
A theory-construction methodology for network theories in psychology.
Adam Finnemann, Lourens Waldorp, Denny Borsboom, Maarten Marsman, Han L. J. van der Maas
Full text

Psychological Science

The Rise, Impact, and Imbalances of Big-Team Psychology
Nicholas A. Coles, JoĂŁo Francisco Goes Braga Takayanagi, Gabrielle L. Grant, Dana M. Basnight-Brown
Full text
The present work evaluates the rise, impact, and imbalances of big-team psychology via an analysis of 3,023,895 articles published in the 21st century. Results indicate that big teams—ranging from 10 to more than 100 authors—are relatively unusual ( n = 49,695) but increasing in popularity. More notably, such collaborations generate unusually high impact in terms of yearly mentions in scholarly articles ( n = 39,788,158), the news ( n = 1,018,639), social media ( n = 5,971,965), and policy documents ( n = 69,959). An examination of country-level sociocultural indicators revealed that first authors, in general, tend to be in regions that are relatively WEIRD: Western, Educated, Industrialized, Rich, and Democratic. However, this imbalance is slightly more pronounced among larger teams. In summary, results suggest that big-team science is an emerging trend in psychology—one that is unevenly deployed across world regions to generate high-impact scientific insights.
Neural-Context Reinstatement of Recurring Events
Adam W. Broitman, Michael J. Kahana
Full text
Episodic recollection involves retrieving context information bound to specific events. However, autobiographical memory largely comprises recurrent, similar experiences that become integrated into joint representations. In the current study, we used scalp electroencephalography (EEG) to extract a neural signature of temporal context and investigate whether recalling a recurring event accompanies the reinstatement of one or multiple occurrences. We asked 52 young adults (aged 18–30) from the Philadelphia area to study and recall lists of words that included both once-presented and repeated items. Participants recalled repeated items in association with neighboring list items from each occurrence, but with stronger clustering around the repetition’s initial occurrence. Furthermore, multivariate spectral analyses of EEG data recorded just prior to the recall of these words revealed stronger patterns of context reinstatement of the first occurrence than the second. Together, these results suggest that the initial occurrence of an event carries stronger temporal-context associations than later repetitions, as predicted by retrieved-context frameworks of episodic memory.
Conscious Detection of Spoken Words Depends on Their Valence
Gal R. Chen, Zaheera Maswadeh, Leon Deouell, Ran R. Hassin
Full text
Conscious experiences appear to play a central role in human behavior, yet most neural processing occurs outside of consciousness. Understanding how the mind prioritizes information for consciousness is, therefore, crucial for theories of cognition. Prior research has largely focused on vision, but generalization is tenuous given the vastly different characteristics of the senses—particularly for audition, which lacks foveation and cannot be intentionally stopped. We examine the affective domain, for which prioritization is not well understood. In three experiments (two preregistered), 101 Hebrew-speaking adults completed a visual task with a stream of auditory pseudowords in the background. Occasionally a meaningful word appeared, and participants were asked about its presence. Using objective and subjective awareness measures, we found that neutral words were prioritized over negative words, regardless of task difficulty, intelligibility, and low-level features. These findings challenge theorizing and modal intuitions, and we discuss ways in which those can be reconciled.

Psychology of Music

“I Can See Clearly Now”: On the time-varying associations between self-concept clarity and music preferences across adolescence into young adulthood
Andrik Becht, Tom ter Bogt
Full text
This longitudinal study explored the connections between self-concept clarity (SCC) and music preferences across early adolescence into young adulthood. Six times, N = 900 Dutch adolescents and young adults ( M age T1 = 12.48 years, 51% females) completed a survey assessing their SCC and music preferences, categorized into mainstream music (including pop, hip-hop, popular rock, and dance/trance) and non-mainstream music (heavy metal, goth, and hardstyle dance). Latent growth curve analyses with SCC as time-varying covariates confirmed that there was no systematic association between SCC and mainstream preferences for pop, hip-hop, and dance/trance in mid- to late adolescence, and that this relationship became mostly positive in young adulthood. However, SCC was negatively associated with a preference for another type of mainstream music: popular rock. As predicted, adolescents with low SCC also preferred thematically complex, non-mainstream genres such as heavy metal and goth, or music that is linked to a non-mainstream subculture: hardstyle dance. Lower SCC levels remained linked to higher preferences for goth and heavy metal music even into young adulthood. This suggests that goth and heavy metal continue to hold significant importance for young people who struggle with clarifying their identity.
Music as a distraction during reading: Music listening habits of university students
Lindsey Cooke, Craig Speelman, Ross Hollett
Full text
Recent research indicates high proportions of individuals report they have music playing while they read. This behaviour has implications for effective comprehension, as some scholars suggest the presence of music depletes cognitive resources, resulting in a greater chance of becoming distracted. By contrast, some have claimed that listening to music can improve cognitive performance by increasing physiological arousal and improving mood. This study captured self-reported behaviours of university students regarding whether they chose to listen to music while reading for study purposes. Reasons for listening varied, with reports of increased motivation, enhanced focus, or masking external noise. The most listened to music genres while reading were Classical and Rock, and individuals preferred to listen to non-lyrical, slow music while reading. Similar proportions of respondents claimed they often listen to music while reading for study purposes (54%) and avoided it (46%), suggesting that individual differences may determine whether music is distracting or helpful to readers. Working Memory Capacity was not found to be associated with distraction from music while reading, nor was trait Mind Wandering. However, a Music Engagement rating was related to how helpful individuals perceived background music to be while reading and their decision to listen to it.

Psychology of Popular Media

Self-administered media prescriptions: Training algorithms to deliver inspirational content to reduce stress and increase goal motivation.
Robin L. Nabi, Amber van der Wal
Full text
A narrative inquiry into characters in the manic depression memescape.
Aayushi Deshpande, Colette Daiute
Full text
A healthy dose of skepticism: The relationship between young adolescents’ sexual media exposure and sexual intentions, and the moderating role of media skepticism.
Christina V. Dodson, Reina Evans-Paulson, Tracy M. Scull
Full text