Pub Date : 2025-10-01Epub Date: 2025-08-25DOI: 10.1177/21522715251371095
Tapan A Patel, Allison Perez, Jesse R Cougle
Social media use has been found to be associated with appearance concerns, low mood, and increased appearance comparisons among women. One possible explanation for these findings could be the consumption of thinspiration content, media that focused on thinness and subsequent upward social comparisons. The aim of the present study was to experimentally examine the effect of thinspiration content from TikTok on state-level appearance comparison, appearance concerns, sadness, overvaluation of appearance, and urge to check/camouflage/seek reassurance about appearance. Participants (N = 111) were randomly presented 5-minute compilations of thinspiration videos or animal videos from TikTok and answered state-level measures following each video set. We found that, compared with the animal videos, the thinspiration videos led to greater appearance comparisons, appearance concerns, overvaluation of appearance, urge to use a safety behavior, and sadness. Overall, this study provides novel evidence supporting the role of thinspiration content viewed on TikTok on appearance concerns and related symptoms.
{"title":"The Effects of Thinspiration Social Media on Overvaluation of Appearance, Safety Behavior, and Appearance Concerns.","authors":"Tapan A Patel, Allison Perez, Jesse R Cougle","doi":"10.1177/21522715251371095","DOIUrl":"10.1177/21522715251371095","url":null,"abstract":"<p><p>Social media use has been found to be associated with appearance concerns, low mood, and increased appearance comparisons among women. One possible explanation for these findings could be the consumption of thinspiration content, media that focused on thinness and subsequent upward social comparisons. The aim of the present study was to experimentally examine the effect of thinspiration content from TikTok on state-level appearance comparison, appearance concerns, sadness, overvaluation of appearance, and urge to check/camouflage/seek reassurance about appearance. Participants (<i>N</i> = 111) were randomly presented 5-minute compilations of thinspiration videos or animal videos from TikTok and answered state-level measures following each video set. We found that, compared with the animal videos, the thinspiration videos led to greater appearance comparisons, appearance concerns, overvaluation of appearance, urge to use a safety behavior, and sadness. Overall, this study provides novel evidence supporting the role of thinspiration content viewed on TikTok on appearance concerns and related symptoms.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"717-722"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144946056","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}
Pub Date : 2025-10-01Epub Date: 2025-09-08DOI: 10.1177/21522715251372356
Feng Zhuo, Xinran Xie, Li Jiang, Tingting Fang, Jingya Li, Ying Yang, Linghua Kong
This study examined the interplay between anxiety, depression, rumination, and problematic internet use (PIU) among 24,470 Chinese adolescents (mean age = 14.37 years; 51.60 percent male), with particular attention to socioeconomic status (SES) variations. Using data from June to August 2024 across three Chinese regions, researchers employed standardized measures including the Children's Depression Inventory, Multidimensional Anxiety Scale for Children, Ruminative Response Scale, and Internet Addiction Test. Regularized partial correlation network analysis revealed symptom rumination and social anxiety as both core and bridging symptoms within the network structure. The overall network strength differed significantly between SES groups (high SES = 8.476 vs low SES = 8.683). Low-SES adolescents exhibited higher centrality in low self-esteem, while high-SES adolescents demonstrated higher centrality in time management and performance difficulties. Symptom rumination and social anxiety exhibited the highest strength and bridge centrality in the overall network, highlighting their key roles in linking psychological issues with PIU. SES-related network differences highlight how socioeconomic context may be associated with different psychological pathways to PIU. These findings inform a more nuanced and context-sensitive understanding of PIU etiology. However, given the limitations of the SES measure used in this study, including reliance on a single subjective item and dichotomized grouping, these observations should be interpreted with caution.
{"title":"Network Analysis of Problematic Internet Use and Adolescent Psychological Issues: The Role of Socioeconomic Status.","authors":"Feng Zhuo, Xinran Xie, Li Jiang, Tingting Fang, Jingya Li, Ying Yang, Linghua Kong","doi":"10.1177/21522715251372356","DOIUrl":"10.1177/21522715251372356","url":null,"abstract":"<p><p>This study examined the interplay between anxiety, depression, rumination, and problematic internet use (PIU) among 24,470 Chinese adolescents (mean age = 14.37 years; 51.60 percent male), with particular attention to socioeconomic status (SES) variations. Using data from June to August 2024 across three Chinese regions, researchers employed standardized measures including the Children's Depression Inventory, Multidimensional Anxiety Scale for Children, Ruminative Response Scale, and Internet Addiction Test. Regularized partial correlation network analysis revealed symptom rumination and social anxiety as both core and bridging symptoms within the network structure. The overall network strength differed significantly between SES groups (high SES = 8.476 vs low SES = 8.683). Low-SES adolescents exhibited higher centrality in low self-esteem, while high-SES adolescents demonstrated higher centrality in time management and performance difficulties. Symptom rumination and social anxiety exhibited the highest strength and bridge centrality in the overall network, highlighting their key roles in linking psychological issues with PIU. SES-related network differences highlight how socioeconomic context may be associated with different psychological pathways to PIU. These findings inform a more nuanced and context-sensitive understanding of PIU etiology. However, given the limitations of the SES measure used in this study, including reliance on a single subjective item and dichotomized grouping, these observations should be interpreted with caution.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"707-716"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145014082","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}
Pub Date : 2025-10-01DOI: 10.1177/21522715251378312
Po-Ching Huang, Chao-Ying Chen, I-Hua Chen, Ji-Kang Chen, Iqbal Pramukti, Rwei-Ling Yu, Jung-Sheng Chen, Chi Hsien Huang, Xue-Lian Wang, Amir H Pakpour, Marc N Potenza, Chung-Ying Lin
As the second most frequently visited website globally, YouTube attracts numerous people who spend significant amounts of time on the platform, potentially leading to problematic consequences. To investigate the underlying mechanism of problematic video-based social media use, the present study translated and culturally adapted the YouTube Addiction Scale (YAS) into two Chinese versions for people in Taiwan and Hong Kong. Psychometric properties and measurement invariance across regions (Taiwan and Hong Kong) and sex (male and female) were further validated. Participants from Taiwan (N = 887) and Hong Kong (N = 1,008) completed an online survey comprising the YAS, Assessment of Criteria for Specific Internet-use Disorders (ACSID-11), and Bergen Social Media Addiction Scale (BSMAS) between September 2023 and June 2024. The results supported adequate concurrent validity of YAS with the ACSID-11 and BSMAS. A robust single-factorial structure with strong factor loadings and good internal consistency was observed among the two Chinese versions. Measurement invariance across regional and sex groups was also supported by all fit indices. Accordingly, the current findings suggest that the YAS can be used as a validated instrument to assess individuals' problematic YouTube use in Taiwan and Hong Kong. Future studies may investigate the psychosocial influences of problematic use of video-based social media platforms or use the scale in studies of active and passive use of social media.
{"title":"Psychometric Properties and Measurement Invariance of Video Addiction Scales: The Chinese YouTube Addiction Scale for Taiwan and Hong Kong.","authors":"Po-Ching Huang, Chao-Ying Chen, I-Hua Chen, Ji-Kang Chen, Iqbal Pramukti, Rwei-Ling Yu, Jung-Sheng Chen, Chi Hsien Huang, Xue-Lian Wang, Amir H Pakpour, Marc N Potenza, Chung-Ying Lin","doi":"10.1177/21522715251378312","DOIUrl":"10.1177/21522715251378312","url":null,"abstract":"<p><p>As the second most frequently visited website globally, YouTube attracts numerous people who spend significant amounts of time on the platform, potentially leading to problematic consequences. To investigate the underlying mechanism of problematic video-based social media use, the present study translated and culturally adapted the <i>YouTube Addiction Scale</i> (YAS) into two Chinese versions for people in Taiwan and Hong Kong. Psychometric properties and measurement invariance across regions (Taiwan and Hong Kong) and sex (male and female) were further validated. Participants from Taiwan (<i>N</i> = 887) and Hong Kong (<i>N</i> = 1,008) completed an online survey comprising the <i>YAS</i>, <i>Assessment of Criteria for Specific Internet-use Disorders</i> (<i>ACSID-11</i>), and <i>Bergen Social Media Addiction Scale</i> (<i>BSMAS</i>) between September 2023 and June 2024. The results supported adequate concurrent validity of YAS with the ACSID-11 and BSMAS. A robust single-factorial structure with strong factor loadings and good internal consistency was observed among the two Chinese versions. Measurement invariance across regional and sex groups was also supported by all fit indices. Accordingly, the current findings suggest that the YAS can be used as a validated instrument to assess individuals' problematic YouTube use in Taiwan and Hong Kong. Future studies may investigate the psychosocial influences of problematic use of video-based social media platforms or use the scale in studies of active and passive use of social media.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"672-679"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198485","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}
Pub Date : 2025-10-01DOI: 10.1177/21522715251387082
Huarong Liu,Qilong Li,Yumeng Sun,Mo Chen,Yuxuan An,Thomas Talhelm,Xiaomeng Hu
Artificial intelligence (AI) is shaping charitable donations more and more. That means traditional theories about human fundraisers might not apply when AI is involved. In charitable storytelling, fundraisers use first-person or third-person narrative perspectives to convey their messages. Different narratives have varying effects on audiences' donation intentions, yet the most suitable narrative perspective for AI fundraisers remains unexplored. Drawing upon narrative transportation theory (NTT), we ran three studies exploring the interaction between narrative perspective and fundraiser identity (AI vs. human) in shaping people's intentions to donate. Study 1 found that people were more willing to donate money for first-person narratives from AI but third-person narratives from humans. Study 2 found evidence that this difference happens because of empathic concern. The different narrative perspectives influence people's empathic responses, which influence their donation intentions. Study 3 found that the identifiability of the person seeking help is a boundary condition. When the help-seeker's identity is ambiguous, the advantages behind first-person and third-person narratives disappear. This research extends the application of NTT to the field of human-computer interaction. The results provide empirical evidence that nonprofits can use to optimize their use of AI in fundraising.
{"title":"Artificial Intelligence Versus Human Fundraisers: Evidence That Narrative Perspective and Fundraiser Identity Influence Donation Intentions.","authors":"Huarong Liu,Qilong Li,Yumeng Sun,Mo Chen,Yuxuan An,Thomas Talhelm,Xiaomeng Hu","doi":"10.1177/21522715251387082","DOIUrl":"https://doi.org/10.1177/21522715251387082","url":null,"abstract":"Artificial intelligence (AI) is shaping charitable donations more and more. That means traditional theories about human fundraisers might not apply when AI is involved. In charitable storytelling, fundraisers use first-person or third-person narrative perspectives to convey their messages. Different narratives have varying effects on audiences' donation intentions, yet the most suitable narrative perspective for AI fundraisers remains unexplored. Drawing upon narrative transportation theory (NTT), we ran three studies exploring the interaction between narrative perspective and fundraiser identity (AI vs. human) in shaping people's intentions to donate. Study 1 found that people were more willing to donate money for first-person narratives from AI but third-person narratives from humans. Study 2 found evidence that this difference happens because of empathic concern. The different narrative perspectives influence people's empathic responses, which influence their donation intentions. Study 3 found that the identifiability of the person seeking help is a boundary condition. When the help-seeker's identity is ambiguous, the advantages behind first-person and third-person narratives disappear. This research extends the application of NTT to the field of human-computer interaction. The results provide empirical evidence that nonprofits can use to optimize their use of AI in fundraising.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"1 1","pages":"698-706"},"PeriodicalIF":6.6,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145357916","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}
Pub Date : 2025-10-01Epub Date: 2025-08-25DOI: 10.1177/21522715251368264
Brenda K Wiederhold
{"title":"Artificial Influence: Why AI Needs Guardrails for the Next Generation.","authors":"Brenda K Wiederhold","doi":"10.1177/21522715251368264","DOIUrl":"10.1177/21522715251368264","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"655-657"},"PeriodicalIF":3.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144946066","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}
Pub Date : 2025-09-29DOI: 10.1177/21522715251382736
Morgan E Ellithorpe,Laila Kunaish,Holly Wright
Research on dating applications relies heavily on explicitly measured evaluations of potential partners; however, the quick swiping mechanism of Tinder and other popular dating applications may rely on more spontaneous evaluations. We asked heterosexual U.S. undergraduates (n = 135) to rate opposite-gender Tinder profiles using both an implicit reaction time task and explicit self-report. Men had more positive implicit evaluations of sexualized profiles compared with women. Men also showed an implicitly measured preference for sexualized profiles over nonsexualized profiles, while women showed the opposite preference. However, the genders did not differ in evaluation of sexualized or nonsexualized profiles in explicitly measured evaluations. This study highlights the value of using implicit measures when conducting research on mobile dating.
{"title":"Hot or Not? Implicit and Explicit Attitudes of Sexualized Profiles on Tinder.","authors":"Morgan E Ellithorpe,Laila Kunaish,Holly Wright","doi":"10.1177/21522715251382736","DOIUrl":"https://doi.org/10.1177/21522715251382736","url":null,"abstract":"Research on dating applications relies heavily on explicitly measured evaluations of potential partners; however, the quick swiping mechanism of Tinder and other popular dating applications may rely on more spontaneous evaluations. We asked heterosexual U.S. undergraduates (n = 135) to rate opposite-gender Tinder profiles using both an implicit reaction time task and explicit self-report. Men had more positive implicit evaluations of sexualized profiles compared with women. Men also showed an implicitly measured preference for sexualized profiles over nonsexualized profiles, while women showed the opposite preference. However, the genders did not differ in evaluation of sexualized or nonsexualized profiles in explicitly measured evaluations. This study highlights the value of using implicit measures when conducting research on mobile dating.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"99 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145182710","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}
Pub Date : 2025-09-22DOI: 10.1177/21522715251379987
Emily McKinley,David M Markowitz,Rui Zhu,Brandon Van Der Heide
Despite widespread discussions about artificial intelligence (AI) and its impact on society, little work has objectively measured how often people use this technology in the wild. The present article collected up to 90 days of web-browsing data from students (Study 1: N = 499) and those in the general public (Study 2: N = 455), quantifying how often people used AI and evaluating the psychological correlates of such use. Upon coding 4.1 million websites in Study 1 and 9.9 million websites in Study 2, the evidence suggested that AI use was relatively infrequent, totaling 1% of student web-browsing and 0.44% of general public web-browsing, on average. The most consistent predictors of AI use across studies were aversive personality traits (e.g., Machiavellianism, narcissism, psychopathy), albeit the traits were differentially associated with AI use across studies. Demographics were largely unrelated to AI use across studies. Finally, we observed that self-reported AI use and actual AI use were only moderately correlated (ρ = 0.329), suggesting limitations in subjective measures of media use. These findings provide some of the first behavioral measurements of AI in naturalistic settings and establish important benchmarks for understanding the individual differences associated with AI adoption.
{"title":"Evaluating Artificial Intelligence Use and Its Psychological Correlates via Months of Web-Browsing Data.","authors":"Emily McKinley,David M Markowitz,Rui Zhu,Brandon Van Der Heide","doi":"10.1177/21522715251379987","DOIUrl":"https://doi.org/10.1177/21522715251379987","url":null,"abstract":"Despite widespread discussions about artificial intelligence (AI) and its impact on society, little work has objectively measured how often people use this technology in the wild. The present article collected up to 90 days of web-browsing data from students (Study 1: N = 499) and those in the general public (Study 2: N = 455), quantifying how often people used AI and evaluating the psychological correlates of such use. Upon coding 4.1 million websites in Study 1 and 9.9 million websites in Study 2, the evidence suggested that AI use was relatively infrequent, totaling 1% of student web-browsing and 0.44% of general public web-browsing, on average. The most consistent predictors of AI use across studies were aversive personality traits (e.g., Machiavellianism, narcissism, psychopathy), albeit the traits were differentially associated with AI use across studies. Demographics were largely unrelated to AI use across studies. Finally, we observed that self-reported AI use and actual AI use were only moderately correlated (ρ = 0.329), suggesting limitations in subjective measures of media use. These findings provide some of the first behavioral measurements of AI in naturalistic settings and establish important benchmarks for understanding the individual differences associated with AI adoption.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"38 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103526","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}
Pub Date : 2025-09-19DOI: 10.1177/21522715251379749
Jing Zhai,Ruimei Sun,L W Lam,Chester C S Kam,Robin Chark,Anise M S Wu
Social media addiction (SMA) has become a global public issue in recent decades. Considering the increasing use of social media in the workplace as a communication and productivity tool, workers may suffer a higher risk of SMA. Workers are also a notable population susceptible to work addiction (WA) due to the fierce competition in the labor market. By analyzing temporal associations between WA and SMA as well as their symptoms (e.g., salience), our study advances knowledge regarding comorbidity between these behavioral addictions and relationships among their specific symptoms. In a sample of 1,100 workers (Mage = 32.69, standard deviation [SDage] = 7.76, female = 60.5 percent), we conducted a two-wave, longitudinal survey to examine the relationship(s) between WA and SMA (i.e., construct level) and the association(s) between their specific symptoms (i.e., symptom level) by modeling a cross-lagged panel model and a cross-lagged panel network (CLPN). Both a high prevalence of SMA (7.3 percent) and WA (16.9 percent), as well as their co-occurrence, were found. Results of the cross-lagged panel model and CLPN consistently showed the reciprocal predictions between SMA and WA. Results of CLPN analysis also identified the stronger positive prospective effects of WA on SMA and highlighted the most influential roles of WA-tolerance in predicting SMA, especially SMA-relapse. Besides, mutual but negative predictions between their salience and relapse symptoms were noted in CLPN. Our findings extend the knowledge of the bidirectionality of behavioral addictions and provide practical implications regarding cost-effective interventions for workers' co-occurring behavioral addictions.
{"title":"Work Hard, Use Harder? The Longitudinal Association Between Work Addiction and Social Media Addiction in Full-Time Workers by a Cross-Lagged Panel Network Analysis.","authors":"Jing Zhai,Ruimei Sun,L W Lam,Chester C S Kam,Robin Chark,Anise M S Wu","doi":"10.1177/21522715251379749","DOIUrl":"https://doi.org/10.1177/21522715251379749","url":null,"abstract":"Social media addiction (SMA) has become a global public issue in recent decades. Considering the increasing use of social media in the workplace as a communication and productivity tool, workers may suffer a higher risk of SMA. Workers are also a notable population susceptible to work addiction (WA) due to the fierce competition in the labor market. By analyzing temporal associations between WA and SMA as well as their symptoms (e.g., salience), our study advances knowledge regarding comorbidity between these behavioral addictions and relationships among their specific symptoms. In a sample of 1,100 workers (Mage = 32.69, standard deviation [SDage] = 7.76, female = 60.5 percent), we conducted a two-wave, longitudinal survey to examine the relationship(s) between WA and SMA (i.e., construct level) and the association(s) between their specific symptoms (i.e., symptom level) by modeling a cross-lagged panel model and a cross-lagged panel network (CLPN). Both a high prevalence of SMA (7.3 percent) and WA (16.9 percent), as well as their co-occurrence, were found. Results of the cross-lagged panel model and CLPN consistently showed the reciprocal predictions between SMA and WA. Results of CLPN analysis also identified the stronger positive prospective effects of WA on SMA and highlighted the most influential roles of WA-tolerance in predicting SMA, especially SMA-relapse. Besides, mutual but negative predictions between their salience and relapse symptoms were noted in CLPN. Our findings extend the knowledge of the bidirectionality of behavioral addictions and provide practical implications regarding cost-effective interventions for workers' co-occurring behavioral addictions.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"506 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145083312","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}
Pub Date : 2025-09-15DOI: 10.1177/21522715251379730
Brenda K Wiederhold
{"title":"The Feedback Loop: Is AI Teaching Us to Talk Like Machines?","authors":"Brenda K Wiederhold","doi":"10.1177/21522715251379730","DOIUrl":"https://doi.org/10.1177/21522715251379730","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"9 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145058928","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}
Pub Date : 2025-09-15DOI: 10.1177/21522715251377377
Tyler Prochnow,Rithanya Senthil,Allison Poulos,Meg S Patterson,Jamilia Blake,Philip Massey
Adolescent mental health issues have been increasing globally, with one in seven youth experiencing mental health disorders. While social connectedness traditionally serves as a protective factor, the widespread adoption of online platforms has fundamentally transformed how adolescents build and maintain social relationships. This systematic review aimed to synthesize existing literature on the relationship between online social connections and mental health among adolescents aged 10-18 years. The review specifically examined how the structure, function, and quality of online interactions influence mental health outcomes, guided by the U.S. Surgeon General's framework on social connection. A systematic search was conducted in January 2024 using PsycINFO, MEDLINE, PubMed, and Web of Science databases. Studies were included if they measured mental health outcomes, assessed online social connection, analyzed relationships between these variables, and focused on adolescents ages 10-18 years. From an initial search of 3,745 articles, 23 met inclusion criteria after screening. The review revealed complex, bidirectional relationships between online social connections and adolescent mental health. Online-only friendships demonstrated a protective function, particularly for vulnerable youth experiencing suicidal ideation. Social capital in online contexts significantly influenced well-being, with higher online social capital associated with positive outcomes, especially in gaming environments. Gender differences emerged in social media effects, with passive use negatively impacting girls. Online social connections present both opportunities and risks for adolescent mental health. While digital platforms can provide valuable support and self-expression opportunities, particularly for vulnerable youth, they also carry risks related to social comparison and inadequate support.
青少年心理健康问题在全球范围内不断增加，七分之一的青少年患有心理健康障碍。虽然社会联系传统上是一种保护因素，但网络平台的广泛采用从根本上改变了青少年建立和维持社会关系的方式。本系统综述旨在综合10-18岁青少年网络社交与心理健康关系的现有文献。在美国外科医生社会联系框架的指导下，该综述特别研究了在线互动的结构、功能和质量如何影响心理健康结果。系统检索于2024年1月使用PsycINFO、MEDLINE、PubMed和Web of Science数据库进行。如果研究测量了心理健康结果，评估了在线社交关系，分析了这些变量之间的关系，并将重点放在10-18岁的青少年身上，则将其纳入研究。从最初检索的3745篇文章中，筛选后23篇符合纳入标准。这项研究揭示了在线社交与青少年心理健康之间复杂的双向关系。纯网络友谊显示出一种保护功能，尤其是对有自杀念头的脆弱青少年。在线环境中的社会资本显著影响幸福感，较高的在线社会资本与积极结果相关，尤其是在游戏环境中。社交媒体的影响出现了性别差异，被动使用社交媒体对女孩产生了负面影响。在线社交关系为青少年心理健康提供了机会和风险。虽然数字平台可以提供宝贵的支持和自我表达的机会，特别是对弱势青年而言，但它们也存在与社会比较和支持不足相关的风险。
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