Cyberpsychology, behavior and social networking最新文献

{"title":"Humanity's Evolving Conversations: AI as Confidant, Coach, and Companion.","authors":"Brenda K Wiederhold","doi":"10.1089/cyber.2024.0387","DOIUrl":"10.1089/cyber.2024.0387","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"750-752"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141632933","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":"Improving Well-Being Through Digital Detoxification Among Social Media Users: A Systematic Review and Meta-Analysis.","authors":"Sameer Ansari, Naved Iqbal, Ahmad Azeem, Kainaat Danyal","doi":"10.1089/cyber.2023.0742","DOIUrl":"10.1089/cyber.2023.0742","url":null,"abstract":"<p><p>Digital detoxification is a conscious disconnection from all smartphone activities for a certain period of time, which has been undertaken as effective by researchers to improve well-being, but studies found inconsistent results, with a primary focus on negative well-being, thus necessitating a need to focus on the positive aspect. As a result, the current study conducted a systematic review and meta-analysis to assess digital detoxification and its influence on users subjective and psychological well-being (PWB). A comprehensive search (up to November 19, 2023) across databases such as PubMed, Scopus, Web of Science, Pro-Quest, and Google Search yielded a total of 26 eligible studies (18 for meta-analysis) comprising 8,147 participants (<i>M_age</i> = 25.20 years). The Studies' quality was assessed using Cochrane's updated Risk of Bias Tool, and statistical analysis was performed in R Studio. Digital detoxification was found to be effective in improving subjective well-being (SWB) (Standardized mean difference [<i>SMD</i>] = 0.21, <i>95% CI</i>: 0.06, 0.34; <i>p</i> < 0.01, <i>I²</i> = 73.6%, <i>n</i> = 14 papers), as well as PWB (<i>SMD</i> = 0.27, <i>95% CI</i>: 0.09, 0.46; <i>p</i> < 0.05; <i>I²</i> = 0.0%, <i>n</i> = 4 papers). Notably, we detected no publication bias but addressed funnel plot asymmetry using Trim & Fill. Moderation analysis revealed the impact of internet coverage, developmental status, location, intervention effectiveness, and risk of bias on the estimated effect size for SWB. Meta-regression highlighted the significant influence of mean age, and although no potential outliers were identified, influential plots are provided for transparency. Our findings consolidate the efficacy of digital detoxification, emphasizing the need for nuanced consideration of study factors. This study contributes to the ongoing discourse on digital well-being, offering valuable insights for researchers, practitioners, and policymakers.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"753-770"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343289","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":"Does Socioeconomic Status Moderate the Association Between Screen Time, Mobile Phone Use, Social Networks, Messaging Applications, and Mental Health Among Adolescents?","authors":"María Eugenia Visier-Alfonso, José Francisco López-Gil, Arthur Eumann Mesas, Estela Jiménez-López, Shkelzen Cekrezi, Vicente Martínez-Vizcaíno","doi":"10.1089/cyber.2024.0064","DOIUrl":"10.1089/cyber.2024.0064","url":null,"abstract":"<p><p>The aim of this study was to examine the relationship between different screen time (ST)-related behaviors and mental health conditions such as depression, anxiety, and stress. In addition, this study aimed to determine the moderating role of socioeconomic status (SES). This was a cross-sectional study and included data from 620 adolescents, aged 12-17 years, from the <i>Valle de Ricote</i>, Region of Murcia, Spain. Mental health was assessed using the Depression, Anxiety, and Stress Scale (DASS-21). Overall ST, mobile phone use, social network use, and messaging application use were measured using validated questionnaires. SES was assessed using the Family Affluence Scale-III. The results indicated that overall ST was significantly associated with symptoms of depression at the mean SES (unstandardized beta coefficient [<i>B</i>] = 0.005, <i>p</i> = 0.023) and 1 standard deviation (SD) below the mean (<i>B</i> = 0.007, <i>p</i> = 0.011), and with stress only 1 SD below the mean (<i>B</i> = 0.006, <i>p</i> = 0.011). No significant associations were found for anxiety and stress across all socioeconomic levels. Mobile phone use exhibited a strong positive association with symptoms of depression (<i>B</i> = 0.891, <i>p</i> < 0.001), anxiety (<i>B</i> = 0.530, <i>p</i> = 0.014), and stress (<i>B</i> = 0.790, <i>p</i> < 0.001) at 1 SD below the mean SES. Similar patterns were observed for mean SES, albeit with slightly weaker associations. Conversely, social network use was positively associated with all three DASS-21 scales, particularly at 1 SD below the mean SES, with the strongest associations found for symptoms of depression (<i>B</i> = 0.327, <i>p</i> < 0.001), anxiety (<i>B</i> = 0.325, <i>p</i> < 0.001), and stress (<i>B</i> = 0.318, <i>p</i> < 0.001). Furthermore, messaging application use did not show significant associations with symptoms of depression, anxiety, or stress across any SES levels. In conclusion, social inequalities may influence the associations between various ST-related behavior and symptoms of depression, anxiety, and stress among adolescents. These findings may have implications for the design of effective interventions to improve symptoms of depression, anxiety, and stress in this population.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"824-834"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142521281","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":"A Technology-Supported Psychoeducational Intervention for Older Adults and Their Families to Improve Social Isolation, Loneliness, and Intergenerational Connectedness-A Randomized Controlled Study.","authors":"Janina Müller, Xiang Zhao, Heather M Foran","doi":"10.1089/cyber.2023.0549","DOIUrl":"10.1089/cyber.2023.0549","url":null,"abstract":"<p><p>Information and communication technologies (ICT) provide digital tools to support and facilitate social engagement. However, the extent to which new ICTs, such as instant messaging, and training on its use, enhance intergenerational family interactions and reduce social isolation and loneliness needs further exploration. In the present study, we developed a brief psychoeducational intervention to promote older adults and their family members (<i>N</i> = 64) to use new technologies to increase communication with each other. With a randomized controlled trial design, we evaluated the effectiveness of the intervention in changing primarily participants' intergenerational interactions, perceived social isolation, and loneliness. Through repeated-measures analysis of variance, an overall condition by time effect was found in younger family members such that contact frequency improved in the intervention condition compared with the waitlist control condition. Using a dyadic framework, we further investigated the role of the intervention in fostering interactions among family members. Dyadic analyses showed a partner effect with contact frequency in younger adults at pre-assessment predicting contact frequency of older adults at post-assessment. This suggests that support and encouragement from younger family members could increase intergenerational interactions and technology adoption among older adults. Moreover, online phone calls served as a promising tool to enhance intergenerational communication; higher user satisfaction was associated with increased ICT use, perceived usefulness, and fewer barriers to technology. This study provides preliminary findings on the effectiveness of ICT-based interventions for engaging older adults and their family members in the use of newer technologies to promote intergenerational interactions and reduce social isolation.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"835-845"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142375277","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 Video Passthrough Headsets Influence Perception of Self and Others.","authors":"Monique Santoso, Jeremy Bailenson","doi":"10.1089/cyber.2024.0398","DOIUrl":"10.1089/cyber.2024.0398","url":null,"abstract":"<p><p>With the increasing adoption of mixed reality (MR) headsets with video passthrough functionality, concerns over perceptual and social effects have surfaced. Building on prior qualitative findings,¹ this study quantitatively investigates the impact of video passthrough on users. Forty participants completed a body transfer task twice, once while wearing a headset in video passthrough and once without a headset. Using video passthrough induced simulator sickness, created <i>social absence</i> (another person in the physical room feels less present), altered self-reported body schema, and distorted distance perception. On the other hand, compared with past research that showed perceptual aftereffects from video passthrough, the current study found none. We discuss the broader implications for the widespread adoption of MR headsets and their impact on theories surrounding presence and body transfer.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"798-806"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142496664","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":"Unmasking Deception: Strategies to Combat AI-Driven Disinformation.","authors":"Brenda K Wiederhold","doi":"10.1089/cyber.2024.0467","DOIUrl":"10.1089/cyber.2024.0467","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"747-749"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281611","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":"Exploring the Relationship Between Social Media Use and Symptoms of Depression and Anxiety Among Children and Adolescents: A Systematic Narrative Review.","authors":"Naila Saleem,Paul Young,Saman Yousuf","doi":"10.1089/cyber.2023.0456","DOIUrl":"https://doi.org/10.1089/cyber.2023.0456","url":null,"abstract":"Social media use is ubiquitous to the lives of children and adolescents. The body of research investigating its potential impact on mental health has risen exponentially. We systematically reviewed the present literature exploring potential linkages between social media use and symptoms of depression and anxiety in this vulnerable group. Using the Preferred Reporting Items for Systematic Reviews and Meta-analyses framework, articles were searched across Medline, EMBASE, CINAHL, and PsycINFO databases from inception to February 2024. Quantitative studies with social media as exposure and anxiety/depressive symptoms as outcomes in children and adolescents 5-18 years of age were included. Of the 4850 studies retrieved, 67 fulfilled the inclusion criteria. The most frequent measures of social media were \"time spent on social media\" and \"frequency of use.\" Depressive symptoms were the outcome of 61 studies, whereas anxiety was measured in 27 studies. Most studies were of fair quality (n = 53). A meta-analysis was not possible due to study heterogeneity. Our review shows that (1) problematic social media use is associated with depressive and anxiety symptoms among children and adolescents, (2) duration of social media use was more consistently linked with anxiety and depression in girls compared with boys, and (3) mediating and moderating mechanisms were sleep deprivation, social comparison, and feedback-seeking behaviors, exercise, social support, and type of social media use. Qualitative work and robust large-scale longitudinal observations using a person-specific approach are needed to further our understanding of the impact of social media use on depression and anxiety in children and adolescents.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"184 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490832","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":"Evaluating for Evidence of Sociodemographic Bias in Conversational AI for Mental Health Support.","authors":"Yee Hui Yeo,Yuxin Peng,Muskaan Mehra,Jamil Samaan,Joshua Hakimian,Allistair Clark,Karisma Suchak,Zoe Krut,Taiga Andersson,Susan Persky,Omer Liran,Brennan Spiegel","doi":"10.1089/cyber.2024.0199","DOIUrl":"https://doi.org/10.1089/cyber.2024.0199","url":null,"abstract":"The integration of large language models (LLMs) into healthcare highlights the need to ensure their efficacy while mitigating potential harms, such as the perpetuation of biases. Current evidence on the existence of bias within LLMs remains inconclusive. In this study, we present an approach to investigate the presence of bias within an LLM designed for mental health support. We simulated physician-patient conversations by using a communication loop between an LLM-based conversational agent and digital standardized patients (DSPs) that engaged the agent in dialogue while remaining agnostic to sociodemographic characteristics. In contrast, the conversational agent was made aware of each DSP's characteristics, including age, sex, race/ethnicity, and annual income. The agent's responses were analyzed to discern potential systematic biases using the Linguistic Inquiry and Word Count tool. Multivariate regression analysis, trend analysis, and group-based trajectory models were used to quantify potential biases. Among 449 conversations, there was no evidence of bias in both descriptive assessments and multivariable linear regression analyses. Moreover, when evaluating changes in mean tone scores throughout a dialogue, the conversational agent exhibited a capacity to show understanding of the DSPs' chief complaints and to elevate the tone scores of the DSPs throughout conversations. This finding did not vary by any sociodemographic characteristics of the DSP. Using an objective methodology, our study did not uncover significant evidence of bias within an LLM-enabled mental health conversational agent. These findings offer a complementary approach to examining bias in LLM-based conversational agents for mental health support.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"3 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490831","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":"Decoding Clickbait: The Impact of Clickbait Types and Structures on Cognitive and Emotional Responses in Online Interactions.","authors":"Yikai Wang, Bin Hu, Chaolan Tang, Xian Yang","doi":"10.1089/cyber.2024.0295","DOIUrl":"https://doi.org/10.1089/cyber.2024.0295","url":null,"abstract":"<p><p>This study delves into the influence of clickbait types (hyperbole, insinuation, visual rhetoric, and puzzle) and structures (emotion-label and emotion-laden words) on user cognitive and emotional responses in an online environment. Using electroencephalography with 32 internet-experienced participants, we analyzed how these different clickbait configurations affect engagement and processing. Our findings highlight that clickbait types such as hyperbole and visual rhetoric swiftly capture attention and enhance emotional engagement, whereas insinuative and puzzling clickbait demand more cognitive effort and deeper processing. In addition, the structure of emotional words significantly influences user responses; emotion-laden words facilitate quicker cognitive processing and enhance emotional reactions, particularly in contexts involving negative emotions. These insights offer valuable implications for content creators and marketers in strategizing ethical clickbait usage, aiming to balance user engagement with information integrity. This research contributes to a nuanced understanding of the interplay between content presentation and user perception, providing a foundation for future explorations into ethical digital content practices.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616366","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":"Shadows of Conflict: Addressing Moral Injury in Peacekeeping Missions.","authors":"Brenda K Wiederhold","doi":"10.1089/cyber.2024.0500","DOIUrl":"https://doi.org/10.1089/cyber.2024.0500","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142460010","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}