I checked 15 psychology journals on Thursday, October 08, 2026 using the Crossref API. For the period October 01 to October 07, I found 70 new paper(s) in 13 journal(s).

Advances in Methods and Practices in Psychological Science

Dyadic: A Scalable Platform for Research on Human–Human and Human–AI Conversation
David M. Markowitz
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Conversation is ubiquitous in social life, but the empirical study of this interactive process has been thwarted by tools that are insufficiently modular and unadaptive to researcher needs. To relieve many constraints in conversation research, in the current tutorial, I present an overview and walkthrough of a new tool, Dyadic ( https://www.chatdyadic.com ), a web-based platform for studying human–human and human–artificial intelligence (AI) conversations using text-based or voice-based chats. Dyadic is distinct from other platforms by offering studies with multiple modalities, AI suggestions (e.g., in human–human studies, AI can suggest responses to a participant), live monitoring (e.g., researchers can evaluate chats between communicators in real time), and survey deployment (e.g., Likert-type scales, feeling thermometers, and open-ended text boxes can be sent to humans for in situ evaluations of the interaction), among other consequential features. No coding is required to operate Dyadic directly, and integrations with existing survey and participant-recruitment platforms are offered.

Behavior Research Methods

HelexKids 2.0: A linguistically annotated lexical database building on HelexKids
Anthi Revithiadou, Aris Terzopoulos, Georgia Niolaki, Giorgos Markopoulos, Konstantinos Avdelidis, Ilias Mittas, Kosmas Kosmidis
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HelexKids 2.0 represents an annotated expansion of the original HelexKids, a word frequency database compiled from Greek and Cypriot elementary school textbooks. This article presents the extended annotation methodology employed to enrich the database with part-of-speech tags, phonological properties (syllable count, phonetic transcription, orthographic and phonological syllabification, and stress), and morphological features (case, number, gender, and inflection class for nouns). All original frequency and lexical measures are retained, and new ones (e.g., PLD20, bigram and biphone frequencies) are added. The annotation process combined automated tools with extensive manual annotation and expert verification. We redesigned the database to assemble dynamically from the full set of textbooks, delivering results on the fly. The annotated database comprises 67,802 types and over 1.3 million tokens. We report on stress pattern distributions across major parts of speech and grade levels, show how stress is distributed by word class, and provide hierarchies of word-level syllabic templates. HelexKids 2.0 is freely available through the GRADIENCE project webpage and serves as a valuable resource for psycholinguistic and morphophonological research, as well as for educational applications.
A beta way: A tutorial on Bayesian beta regression for psychological research
Jason Geller, Robert Kubinec, Chelsea M. Parlett Pelleriti, Matti Vuorre
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Bayesian distributional models of executive functioning
Robert Kasumba, Zeyu Lu, Dom C. P. Marticorena, Mingyang Zhong, Paul Beggs, Anja Pahor, Geetha Ramani, Imani Goffney, Susanne M. Jaeggi, Aaron R. Seitz, Jacob R. Gardner, Dennis L. Barbour
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This study uses controlled simulations with known ground-truth parameters to evaluate how distributional latent variable models (DLVM) and Bayesian distributional active learning (DALE) perform compared with conventional independent maximum likelihood estimation (IMLE). DLVM integrates observations across multiple executive function tasks and individuals, allowing parameter estimation even under sparse or incomplete data conditions. To establish known ground truth, we uniformly sample individual sessions from a neural network-learned latent space and map them to distributional cognitive performance across different tasks. We then sample individual test items from these distributions using DALE, a random procedure, or a standard fixed-battery approach. Given the same observations, DLVM consistently outperformed IMLE, especially with smaller amounts of data, and converged faster to highly accurate estimates of the true distributions. In a second set of analyses, DALE adaptively guided sampling to maximize information gain, outperforming random sampling and fixed test batteries, particularly within the first 80 trials. These findings establish the advantages of combining DLVM’s cross-task inference with DALE’s optimal adaptive sampling, providing a principled basis for more efficient cognitive assessments.

Computers in Human Behavior

Generic title: Not a research article
Corrigendum to ‘Addressing FoMO and telepressure among university students: Could a technology intervention help with social media use and sleep disruption?’ [Computers in Human Behavior 93 (2019) Pages 192-199]
Arielle P. Rogers, Larissa K. Barber
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Generic title: Not a research article
Corrigendum to ‘Are your defense mechanisms harming you? The role of psychological defenses in social media comparison and adolescent self-esteem’ [Computers in Human Behavior 178 (2026) 108916]
Lin Ting Jin, Yun Jung Choi
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Online collective aggression in algorithmic environments: The roles of algorithm awareness, moral outrage, and negative descriptive norms
Zilin Wang, Jingyuan Yang, Xiaofei Qiao, Li Lei
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Sociotechnical imaginaries and acceptance of artificial intelligence in education: A longitudinal social media analysis
Özgehan UƟtuk, Ali Fuad Selvi, Zihan Xia
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The dynamics of climate change skepticism sharing on social media: Social identity, partisanship, and the impact of negative public opinion cues
Seo Yoon Lee
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Not naive, just gullible: psycho-cognitive vulnerability and fraud victimization in Italy
Chiara Barbara DadĂ , Laura Colautti, Matteo Robba, Alessia Rosi, Elena Cavallini, Paola Iannello
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Facilitator or hallucination trap? A social-cognitive account of AI-generated misinformation handling in GenAI-assisted L2 writing
Yilong Yang, Jia Li, Yadan Li, Shuyi Zhang, Kai Guo
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Blurring the boundaries of the self: Instagram's impact on bodily identity and multisensory experience among young adults
Maria Sansoni, Jade Portingale, Stefano De Gaspari, Giulia Brizzi, Magdalena Chorzępa, Giuseppe Riva
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Avatars, embodiment, and virtual engagement: A large-scale study with young adults in Germany and the United States
Oliver Korn, Benjamin Schnitzer, Xenia Armstrong, Jan Vogt, Sanika Doolani, Coye Cheshire
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From pixels to perceptions: Predicting video game ratings through reviews and metadata
Yavuz Selim Balcioğlu, Erkut Altindağ
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Decoding and controlling emotion in LLMs through human-aligned representational geometry with enhanced interpretability
Xiuwen Wu, Hao Wang, Zhiang Yan, Xiaohan Tang, Pengfei Xu, Wai-Ting Siok, Ping Li, Jia-Hong Gao, Bingjiang Lyu, Lang Qin
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Internet use, social isolation, and loneliness among older adults: A multi-wave analysis
Eleftheria Vaportzis
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Beyond the post: Effects of vividness dominance on attention and recall of visual misinformation on social media
Zexin Ma, Jiyoung Lee, Jiyoun Suk
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Rethinking smartphone use and attention regulation among adolescents: A focus on habit and online basic psychological needs satisfaction
Haoyu Zhao, Jennifer Shapka
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Perceived effectiveness of online vigilantism: The role of schadenfreude and moral grandstanding
Dosun Kim, Yeon Soo Kim
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Identity manipulation in online grooming: Gendered strategies among male suspects
Jorge Santos-Hermoso, Virginia Soldino
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Is this real or Fake? Examining the effects of disclosure of AI-generated content and source type in instagram-based travel destination advertising on consumer attitudes and behavioral intentions
Delia Cristina Balaban, Joe Phua
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Immersive virtual reality for caregivers of children and adolescents with ADHD: A mixed-methods study of stress reduction, empathy engagement, and quality of life outcomes
Ka Po Wong, Haoneng Lin, Sikai Wu, Kean Poon, Cynthia Yuen Yi Lai, Jing Qin
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Efficacy of a context-aware mobile app with adaptive feedback for promoting behavioral change in problematic smartphone use: Evidence from a randomized controlled trial
Sandy C. Li, Stella Cheung, Ming Lui, Andrew K.F. Lui, Jackie W.W. Chan
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Beyond the ideal: How 'Instagram vs reality' content shapes positive and negative body image
Kerstin Becker, Jessica M. Alleva, Philippe Verduyn
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Making sense of scent: Cultural styles, cognitive schemas, and the situated logic of online perfume reviews
Larisa Nikitina, Yu Liu, Fumitaka Furuoka
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Tell me who its founders are and I'll tell you what your online community looks like: Online community founders' personality and community attributes
Yaniv Dover, Shaul Oreg
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Modeling misinformation herd immunity from a multi-mechanism integration perspective: The role of selective exposure and echo chamber effect
Renbiao Yang, Gaohui Cao
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Between the bars: Virtual reality and physical prison simulations link to reduced prejudice against incarcerated people
Marco Marinucci, Paolo Riva, Teresa Traversa, Maria Elena Magrin
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Decision-making in esports: Identifying and understanding heuristics in League of Legends teamfights
Jorge Rodriguez-Robaina, Loel Collins
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Not warm or cold, but appropriate: How outcome severity shifts moral-mind inferences and trust in AI chatbots
Lianshan Zhang, Mei Yin Zhao
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Group Processes & Intergroup Relations

The Roots of Solidarity: Social Class Identity is Associated with Support for Reducing Inequality
Danny Hang, Ellen C. Reinhart, Hannah J. Birnbaum, Andrea G. Dittmann, Rebecca M. Carey
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The collective efforts of individuals with the least amount of resources, status, and power in a society can be a powerful tool for reducing inequality. In the current research, we examine the links between identity and support for reducing inequality . Recruiting two online surveys of individuals with objectively low social class standing (i.e., low education, low income) and applying regression analysis, we find that those who subjectively identify as lower (versus higher) social class were more likely to support reducing economic inequality (e.g., support policies that reduce economic inequality; Studies 1 and 2). Additionally, the more central their lower social class was to their identity, the more likely people were to support reducing economic inequality (Study 2). Taken together, these results provide novel support for the importance of social class identity in efforts to reduce economic inequality.

Journal of Experimental Social Psychology

Reevaluating the empirical support for a lens-based account: dissecting comparative fit and reconstructive category guessing
Roland Imhoff, Verena Heidrich
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Is honesty the best policy? Why people prefer false empathy over truthful unempathy
Zi Ye, Feiteng Long, Roujia Feng, Yi Zhang, Wilco W. van Dijk
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When less is more: Unifinal framing promotes intention to use social media for social connection
David S. Lee, Daniel Kulesza
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Smiling your way to happiness or misery? Experimental tests of competing perspectives [Registered Report - stage II]
Nicholas A. Coles, Annabel V. Dang, Joao Francisco Goes Braga Takayanagi
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Everyday conceptualizations of patience
Samuel Murray, Devon Guzy, Áine Flynn
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Journal of Personality and Social Psychology

The temporal dynamics of narcissism and aggression: Timescales, moderators, and generalizations in diverse samples.
Yuping Liu, Tengwei Sun, Bingtao Zhou, Sander Thomaes, Bo Yang, Jaap J. A. Denissen
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Associations of fear, anger, happiness, and hope with risk judgments: Revisiting appraisal-tendency framework with a replication and extensions registered report of Lerner and Keltner (2001).
Sirui Lu, Emir Efendić, Gilad Feldman
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Does losing your job change your personality? Findings from a 16-year longitudinal study of Mexican-origin adults.
Guido Alessandri, Lorenzo Filosa, Richard W. Robins
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When having less elevates more: Benefactor income, moral elevation, and prosocial contagion among observers.
Bingqing Miranda Yin, Jenny G. Olson, Yexin Jessica Li
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The predictive validity of vocational interests for life outcomes across adulthood.
Lena Roemer, Christopher D. Nye, Rong Su, Kevin A. Hoff
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Virtue trade-offs in everyday life.
Qilin Zhang, Jeremy Jacobson, Benjamin Hardin, Jessie Sun
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Unstable, indistinct, and cohesive? How group cognitions shape attitudes toward transgender and nonbinary people as a function of gender essentialism.
Julia Spielmann, Andrea C. Vial
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Extended artificial intelligence aversion: People deny humanness to artificial intelligence users.
Jianning Dang, Li Liu
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Unconscious mental content in implicit evaluation: Evidence from misprediction.
Benedek Kurdi, David E. Melnikoff, Adam Morris
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Life satisfaction, loneliness, and depressivity in consistently single young adults in Germany and the United Kingdom.
Michael D. KrÀmer, Julia Stern, Laura Buchinger, Geoff MacDonald, Wiebke Bleidorn
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Multivariate Behavioral Research

When Nesting is Nuisance in Cluster Sampled Longitudinal Research
James Peugh, Francis Huang, Sonja D. Winter
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Personality and Social Psychology Bulletin

Should I Stay or Should I Go? Preference for Consistency Predicts Choice Perseveration in the Monty Hall Problem
Agata Gasiorowska, Dariusz Dolinski, Michal Folwarczny, Tobias Otterbring
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Five incentivized studies ( N = 5,354) tested whether preference for consistency (PfC) predicts staying with one’s initial choice in the Monty Hall problem, despite the fact that switching maximizes the probability of winning. Studies 1 and 2 found that higher PfC predicts staying, even after controlling for need for closure, preference for structure, intolerance of uncertainty, conspiracy beliefs, and numerical competence. Studies 3 and 4 provided experimental evidence that incentives moderated the link between PfC and staying, but higher (vs. lower) PfC only attenuated rather than eliminated incentive sensitivity. Study 5 identified anticipated regret over switching and losing as a mechanism underlying the effect, showing that the link between PfC and staying held across cultural contexts, although its magnitude was culturally calibrated. Together, this research shows that consistency motivation governs choice perseverance in a task that is intentionally impersonal and assumed to be driven by probabilistic reasoning rather than motivational forces.

Psychological Bulletin

Contributions of the general factor of intelligence to cognitive performance across ability levels and age: An individual participant data meta-analysis of child and adolescent norming data.
Moritz Breit, Martin Brunner, Julian Preuß, Monika Daseking, GĂŒnter Esser, Alexander Grob, Jan-Philipp Freudenstein, Ulf Kieschke, Ludwig Kreuzpointner, Franz Pauls, Christoph Perleth, Gabriele Ricken, Stefan Schipolowski, Ulrich Schroeders, Franziska Walter, Oliver Wilhelm, Anne Wyschkon, Franzis Preckel
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Childhood emotional abuse and adult psychopathology: A multilevel meta-analytic review.
Noga Miron, Wendy M. D'Andrea, Eran Barzilai, Shoshana Krohner, Ellen H. Yates, Samuel G. Conner Self, E. Samuel Winer, Ashley M. Doukas, Joseph Spinazzola
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A systematic review and meta-analysis of partial correlations between caregiver cognitive stimulation in early childhood and child development.
Sarah F. Hatch, Noelle M. Suntheimer, Abigail W. Otwell, Laura Tang, Dana C. McCoy, Sharon Wolf
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Toward a unified process model of situational frustration, need deprivation, and behavioral compensation: A meta-analytic review.
Maximilian Agostini, N. Pontus Leander, Jannis Kreienkamp, Justin König, Catharina Gerigk, Russell Spears
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Psychological Methods

Regularized multigroup exploratory approximate factor analysis with orthogonal factors.
Katrijn Van Deun, TrĂ  LĂȘ, Jakub Malinowski, Floortje Mols, Dounya Schoormans
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Using features of dynamic networks to guide treatment selection and outcome prediction: The central role of uncertainty.
Björn S. Siepe, Matthias Kloft, Yong Zhang, Fridtjof Petersen, Laura F. Bringmann, Daniel W. Heck
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Psychological Science

Face-Matching Lineups: A Method to Control Mistaken Identifications in Video Evidence
Camryn N. Yuen, Daniel M. Bernstein, Andrew M. Smith, Rebecca C. Ying, Ryan J. Fitzgerald
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When crime is caught on video, suspects can be identified by matching their faces to the perpetrator in the footage. However, errors in face-matching decisions have led to wrongful arrests. We tested face-matching in a nonprofessional student sample from a Canadian university ( N = 905) with one-to-one comparisons and lineups. On the basis of findings in the eyewitness identification literature, we hypothesized that if face-matching lineups were fair and included known-innocent fillers (i.e., nonsuspects), they would control the error rate on trials with innocent suspects and increase the accuracy of suspect “match” responses. This hypothesis was supported. However, the accuracy of suspect-nonmatch responses was greater for one-to-one comparisons than for lineups. Additionally, we found that applying wisdom-of-crowd approaches to multiple independent decisions could eliminate errors in both match and nonmatch responses. Whether to control face-matching errors with lineups, with the wisdom-of-crowds, or with both depends on practical considerations.
Do Children Who Develop Faster Go on to Age Faster in Midlife?
J. Kathy Xie, Avshalom Caspi, Kathleen Mullan Harris, Allison E. Aiello, HonaLee Harrington, Renate Houts, Christopher Kositzke, Daniel W. Belsky, Laurel Raffington, Jay Belsky, Sandhya Ramrakha, Reremoana F. Theodore, Terrie E. Moffitt
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We quantified the association between rate of child development and pace of midlife aging in the Dunedin Study and the Add Health Study. Physical development was quantified in Dunedin participants ( N = 1,037; age 45) using a composite comprised of (1) birth weight for gestational age, (2) toddler weight gain, (3) timing of behavioral milestones, (4) adiposity-rebound age, (5) timing of adolescent growth spurt, and (6) tempo of adolescent growth spurt. Social development was quantified using the Vineland Social Maturity Scale. Multi-organ-system (cardiovascular, metabolic, renal, immune, dental, pulmonary) longitudinal biological aging was used as the adult outcome. Fast physical development in childhood was associated with faster midlife aging. This was replicated in Add Health ( N = 1,537; age range = 33–44 years), where girls who menstruated earlier had faster midlife aging. By contrast, faster social development in childhood was associated with slower midlife aging. Findings contribute initial empirical evidence characterizing the link between child-development rate and adult aging in humans.
Commentary on Alister et al. (2025): Individual Differences or Unsystematic Noise?
Peter Shepherdson
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Alister et al. (2025) reported individual differences in the extent to which people find source-dependent and source-independent claims persuasive, but an exploratory analysis showed no discernible relationship between these individual differences and demographic variables such as age, education, politics, and social-media use. Here I show through simulations that the individual-difference patterns Alister et al. identified are largely consistent with random across-trial variation in the absence of underlying differences between individuals. This casts doubt on the strength of their evidence for individual differences and provides one plausible account of why their exploratory analyses did not yield systematic relationships.

Psychology of Popular Media

Body positivity versus body neutrality: Examining video effects on adolescent girls’ state self-objectification.
Jiaqi Zeng, Jennifer Stevens Aubrey, Kausumi Saha, Heather Gahler
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A message from your outgoing editor.
Karen E. Shackleford
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Older and wiser, but not immune: A brief report examining movie exposure and male body image across development.
Kate Stewart, James Alex Bonus
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Seeing and being seen: A latent class analysis of social media use among young individuals with visible differences and its links to sociodemographic characteristics, norms, and body image.
Laure Dedecker, Laura Vandenbosch, Chelly Maes, Jill Meirte, Lara Schreurs
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Nigerian women’s perceptions of social media’s role in skin bleaching, body image, and colorism.
Ruth Emmanuel, Kelly Merrill
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Differential effects of social media on body esteem: An ecological momentary assessment on weight satisfaction and muscularity importance.
Megan Van Alfen, Sarah M. Coyne, Joseph A. Olsen, Drew P. Cingel, Adam A. Rogers, Ashley Larsen Gibby
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Social media, racialized appearance concerns, and well-being among adolescent girls of color in the United States and England.
L. Monique Ward, Elizabeth A. Daniels, Morgan Jerald, Kyla N. Brathwaite
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Magic mirror on my screen: An experimental test of assimilation effects of beauty filters on Chinese college women’s self-esteem and affect.
Yanzhuo Niu
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Eye tracking and the self-view: Self-focused attention on Zoom is a limited predictor of appearance-related concerns.
Amelia C. Couture Bue, Julie Aprill, Jacob Russell, Mariia Pugina, Carrie Grim, Jessica Simmons, Mania Mohseni, Sheena Hunter
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Editors’ introduction to the special issue: New media and body image.
Megan A. Vendemia, Teresa Lynch
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Adolescents’ appearance-related social media consciousness and photo-related behaviors are linked to social anxiety symptoms with peers digitally and in-person: An ecological momentary assessment study.
Adelaide E. Graham, Margaret V. Brehm, Zelal Kilic, Sophia Choukas-Bradley, Jacqueline L. Nesi, Cecile D. Ladouceur, Jennifer S. Silk
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Twinks, jocks, bears, and cubs: Associations between dating app usage and body image among sexual minority men with lean and nonlean subcultural appearance identities.
Clay M. Williams, Kristen Harrison
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Selfies’ effects on the self: An experimental study of the influence of beauty filters on body image.
Irene Razpurker-Apfeld, Nurit Tal-Or
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Technology, Mind, and Behavior

When artificial intelligence apologizes: Dynamic trust updating and the role of personality.
Jit Wei A. Ang, Chenye Zhong, Syaheed B. Jabar, Georgios Christopoulos
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Exploring the limits of large language models as a reflection of human cognition: An illustration in the context of moral judgment.
Sarah Schröder, Thekla Morgenroth, Ulrike Kuhl, Valerie Vaquet, Benjamin Paaßen
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