Cyberpsychology, behavior and social networking最新文献

{"title":"Flagged but Fooled? Rethinking Misinformation Inoculation on Short-Form Video Apps.","authors":"Yongnam Jung","doi":"10.1177/21522715261432858","DOIUrl":"https://doi.org/10.1177/21522715261432858","url":null,"abstract":"Social media platforms are fighting misinformation by adding warning flags and suggesting related content. However, it is still unclear how users understand these flags and whether they influence users' willingness to share content or believe false information-especially on video platforms such as TikTok. Do users notice these flags? If so, do the flags change how they view the content? Inoculation theory suggests that if individuals are forewarned about the potential for misinformation and are exposed to weakened forms of such misinformation, they may become less susceptible to misinformation. Does inoculating users with flagged content reduce false acceptance and sharing intentions later? To address these questions, we conducted a user study (N = 322) utilizing a TikTok-like interface, employing a 2 (misinformation warning: absent, present) × 3 (counterargument in pre-suggested false-flagged content: absent, cue, action) between-subject experimental design. While users noticed flags as intended, their perceptions regarding the frequency and harm of misinformation remain unchanged. Furthermoe, neither warning nor counterargument messages effectively reduced users' acceptance of misinformation or their intention to share it, highlighting the boundary conditions of inoculation theory within immersive short video contexts. Interestingly, media literacy and TikTok dependency have emerged as significant predictors of false acceptance. This study discusses the practical implications for the design of ethical social media interfaces.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"57 1","pages":"21522715261432858"},"PeriodicalIF":6.6,"publicationDate":"2026-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147502352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rewired: How Digital Mediation Is Reshaping Human Memory.","authors":"Brenda K Wiederhold","doi":"10.1177/21522715261434724","DOIUrl":"https://doi.org/10.1177/21522715261434724","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"57 1","pages":"21522715261434724"},"PeriodicalIF":6.6,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mental Health Predictors of Adolescents' Social Media Engagement and Digital Addiction: An Interaction of Person-Affect-Cognition-Execution Model Approach.","authors":"Catalina Maria Popoviciu,Cezar Giosan","doi":"10.1177/21522715261434383","DOIUrl":"https://doi.org/10.1177/21522715261434383","url":null,"abstract":"Adolescents' pervasive social media use raises growing concerns about its complex links with mental health, yet predictors distinguishing normative engagement from maladaptive digital addiction remain insufficiently understood. Guided by the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study examined whether mental health symptoms (anxiety, depression, ADHD, post-traumatic stress symptoms, eating disorder symptoms) and social factors (bullying, help-seeking attitudes, stigma, social support) differentially predicted social media engagement and digital addiction. In a cross-sectional sample of 524 adolescents (51.0 percent female; aged 15-19 years, M = 17.95, SD = 0.91), hierarchical regression analyses with multiple imputation indicated that the full models explained 12.53 percent of the variance in social media engagement (R2 = 0.125) and 26.08 percent of the variance in digital addiction (R2 = 0.261). For social media engagement, higher general anxiety (β = 0.24, p = 0.040) and greater perceived social support (β = 0.13, p = 0.008) were significant positive predictors, while more favorable help-seeking attitudes were negatively associated with engagement (β = -0.10, p = 0.039). For digital addiction, perceived social support was a significant positive predictor (β = 0.14, p = 0.002), while PTSS (β = 0.14, p = 0.058), bullying (β = 0.11, p = 0.055), and ADHD symptoms (β = 0.15, p = 0.092) showed trend-level associations; depressive symptoms were not significant in the fully adjusted model (β = 0.10, p = 0.317). Overall, findings provide partial support for the I-PACE model and suggest that trauma-related symptoms may warrant further investigation as a subclinical vulnerability associated with problematic digital behaviors.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"13 1","pages":"21522715261434383"},"PeriodicalIF":6.6,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147495255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Not All Mistakes Are Judged Alike: Error Severity and the Evaluation of Human Drivers and Autonomous Driving Systems.","authors":"Yeon Kyoung Joo,Roselyn J Lee-Won,Banya Kim","doi":"10.1177/21522715261423989","DOIUrl":"https://doi.org/10.1177/21522715261423989","url":null,"abstract":"This study investigated how people respond to driving errors committed by human drivers versus algorithm-controlled autonomous driving systems, focusing on how the driving agent and error severity shape error tolerance and trust. Drawing on Social Identity Theory and the Perfect Automation Schema, we proposed that autonomous driving systems operated by algorithms are perceived as out-group entities held to extremely high performance standards; consequently, even minor errors caused by autonomous vehicle algorithms may elicit disproportionately negative reactions. We conducted an online experiment employing a 2 (driving agent: algorithm vs. human) × 2 (error severity: fatal vs. minor) between-subjects design. Participants (N = 800) were randomly assigned to read one of four driving error scenarios, and then evaluated the error as well as the driving agent's trustworthiness. Results revealed a significant interaction between driving agent and error severity. When the error was fatal, both driving agents received highly negative evaluations on both error tolerance and trust. By contrast, when the error was minor, participants were more tolerant of the human error and expressed greater trust in the human driver than in the algorithm. These findings suggest that even minor, noncritical malfunctions in autonomous driving systems can undermine users' confidence and exacerbate negative evaluations. Overall, this study highlights social and cognitive biases in how people perceive and judge autonomous driving systems, deepening our understanding of the algorithm aversion phenomenon.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"44 1 1","pages":"81-87"},"PeriodicalIF":6.6,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147483313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Human Web to Agentic Web: When Machines Become the Internet's Primary Users.","authors":"Brenda K Wiederhold","doi":"10.1177/21522715261432850","DOIUrl":"https://doi.org/10.1177/21522715261432850","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"55 1","pages":"21522715261432850"},"PeriodicalIF":6.6,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147381446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How Service Robot Anthropomorphism and Employee Self-Efficacy Shape Collaborative Performance.","authors":"Yaqin Cao,Xiangjun Hu,Ming Li,Wei Lyu","doi":"10.1177/21522715261426627","DOIUrl":"https://doi.org/10.1177/21522715261426627","url":null,"abstract":"This study aims to elucidate the mechanisms through which service robot anthropomorphism and employee self-efficacy influence human-robot collaborative performance in the service industry. A conceptual model was developed in which perceived usefulness, perceived ease of use, perceived competence, and collaborative intention operate as multiple mediators, clarifying how robot-assisted collaboration enhances performance. Using structural equation modeling, we analyzed data from 418 valid questionnaires collected from employees in the hospitality and catering sectors. The results indicate that both service robot anthropomorphism and employee self-efficacy significantly enhance employees' perceptions of usefulness, ease of use, and competence. These perceptions, in turn, positively affect collaborative intention, which subsequently improves collaborative performance. Moreover, perceived usefulness, ease of use, and competence jointly mediate the relationships between the antecedent variables (anthropomorphism and self-efficacy) and collaborative performance. In summary, the findings elucidate a sequential mediation pathway: robot anthropomorphism and employee self-efficacy boost key perceptions, thereby fostering collaborative intention and ultimately enhancing performance. The study provides theoretical insights into the psychological mechanisms through which anthropomorphic design features and employee self-efficacy shape effective human-robot collaboration and offers practical guidance for the successful integration of service robots into service operations.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"84 1","pages":"21522715261426627"},"PeriodicalIF":6.6,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147351208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Out of the Textbook and Into the Trenches: How Tech Transforms the History Classroom.","authors":"Brenda K Wiederhold","doi":"10.1177/21522715261424706","DOIUrl":"10.1177/21522715261424706","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"135-137"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147303427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MAPS: A Multidimensional Alignment of Presence in Systems.","authors":"Federico Longoni, Stefania La Rocca, Giuseppe Passalacqua, Giuseppe Riva","doi":"10.1177/21522715261425326","DOIUrl":"10.1177/21522715261425326","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"192-194"},"PeriodicalIF":3.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147303479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Explication and Classroom Field Study of the Virtual Human Interaction Lab's Expert (VHIL-E) LLM.","authors":"Jeremy N Bailenson, Jonathan You, David Markowitz, Gustav Petersen, Rabindra Ratan, Monique Santoso, Portia Wang","doi":"10.1177/21522715261423752","DOIUrl":"10.1177/21522715261423752","url":null,"abstract":"<p><p>VHIL-E is the Virtual Human Interaction Lab's Expert, a large language model (LLM) representing the lab's research, teaching, and outreach on virtual and augmented reality. We first motivate the project and then present best practices for implementing a retrieval-augmented generation (RAG), specifically the \"Seven Cs\": <i>collecting</i>, <i>cleaning</i>, <i>classifying</i>, <i>chunking</i>, <i>creating</i> embeddings, <i>correlating</i> embeddings into an index, and <i>connecting</i> the index to an LLM. We collected academic publications, transcribed public talks, dedicated interviews and news articles about the lab's research, and various curriculum materials from Virtual People, the lecture course taught about the lab's research for over two decades, resulting in over 2.3 million words broken into ∼10,000 chunks. In study 1, we compared performance on a multiple-choice test of 231 questions between various implementations of the RAG system and traditional Base GPT models. Models generally performed well, between 83 and 90 percent, similar to student performance on course examinations. In study 2, an open-ended task implemented over 10 weeks in the Fall 2025 Virtual People course, students (<i>N</i> = 89) used VHIL-E to query and understand the course materials and logged hallucinations, which were \"egregiously wrong answers.\" Students then chose the single worst wrong answer over 8 weeks. They then compared the Base/RAG Hybrid-which prioritized the RAG but allowed ChatGPT to consult its general intelligence-to the RAG Constrained, which limited substantive information to the embedded index. Allowing VHIL-E access to GPT produced more than twice as many hallucinations as constraining it to the index. We discuss implications for scholars who build and use RAG-based LLM applications.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"177-183"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147324857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Avatar Customization Predicts Subsequent Online Social Support and User Satisfaction via Avatar Identification.","authors":"Masanori Takano, Kenji Yokotani, Takahiro Kato, Nobuhito Abe, Fumiaki Taka","doi":"10.1177/21522715261423782","DOIUrl":"10.1177/21522715261423782","url":null,"abstract":"<p><p>Avatar-based communication in virtual worlds offers a crucial space for online social support. Such support can be facilitated through avatar customization. However, most platforms, designed primarily for entertainment and attracting numerous users, have not fully examined the relationship between avatar customization and social support. This study provides an integrated explanation of the interplay among avatar customization, avatar identification, and online social support and proposes a practical approach for enhancing user well-being. Drawing on data from a two-wave longitudinal survey with a 9-month interval, conducted among Japanese users of three major avatar communication services (Second Life, ZEPETO, and Pigg Party), we analyzed the longitudinal relationships between these factors. A cross-lagged panel analysis revealed a positive feedback loop wherein avatar identification and perceived online social support mutually and positively reinforce each other over time. More frequent avatar customization at Wave 1 predicted higher avatar identification at Wave 2, suggesting that customization can serve as an upstream starting point for this feedback loop. Avatar identification and perceived online social support were positively associated with subsequent user satisfaction on most metrics. In addition, mediation analyses indicated significant indirect effects of avatar customization on perceived online social support and user satisfaction via avatar identification. By demonstrating how these concepts work together, our findings provide a practical strategy for service providers. By encouraging avatar customization-a measure that aligns naturally with platform operations, such as item releases and events-companies can initiate a positive feedback loop between avatar identification and online social support. This can enhance user well-being by increasing social support while potentially supporting platform success via higher user satisfaction, creating a win-win scenario.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"167-176"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147303438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}