青少年网络偏差行为潜在剖面与网络分析——以江西省为例

doi:10.6040/j.issn.1671-7554.0.2025.0712

摘要/Abstract

摘要： 目的构建青少年网络偏差行为潜在剖面和症状网络,探索其潜在亚组和核心症状。方法选取19 249例来自江西省的青少年,采用青少年网络偏差行为量表进行调查。采用潜在剖面分析进行亚群分类,采用网络分析识别核心症状与桥梁症状。结果青少年网络偏差行为可分为三个亚组:低网络偏差组4 442人、中网络偏差组14 143人和高网络偏差组664人。“在网上,一旦受到他人轻视或嘲笑,我很容易变得生气”是网络中的核心症状,“在网上,我会发布一些关于其他人或事的虚假的信息”是桥梁症状。“网络过激行为”是三个亚组共有的核心症状。结论青少年网络偏差行为呈现显著的群体异质性特征,家长和学校应及时识别其核心症状和桥梁症状,尽早干预,减少青少年网络偏差行为。

关键词: 网络偏差行为, 潜在剖面分析, 网络分析, 核心症状, 青少年

Abstract: Objective To construct latent profiles and symptom networks of cyber-deviance among adolescents, with the goal of identifying potential subgroups and core symptoms. Methods A total of 19,249 adolescents from Jiangxi Province were recruited and assessed using the Scale for Adolescent Internet Deviance. Latent profile analysis was employed to classify subgroups, while network analysis was conducted to identify core symptoms and bridge symptoms. Results The cyber-deviance among adolescents were classified into three distinct subgroups: low cyber-deviance group(n=4,442), moderate cyber-deviance group(n=14,143), high cyber-deviance group(n=664). “Get angry easily when being belittled or laughed at by other” emerged as the central symptom in the network analysis. “Publish false information about other people or things” functioned as a critical bridge symptom connecting different symptom clusters. “Internet aggressive behavior” was identified as a shared core symptom across all three subgroups. Conclusion Cyber-deviance of adolescents exhibits significant heterogeneity. Parents and schools should promptly identify core and bridge symptoms to implement early interventions, thereby reducing such behaviors among adolescents.

Key words: Cyber-deviance, Latent profile analysis, Network analysis, Core symptoms, Adolescents

中图分类号:

R179

方婷婷,胡章捷,禚凤,解欣然,杨楹,孔令华. 青少年网络偏差行为潜在剖面与网络分析——以江西省为例[J]. 山东大学学报 (医学版), 2026, 64(3): 35-44.

FANG Tingting, HU Zhangjie, ZHUO Feng, XIE Xinran, YANG Ying, KONG Linghua. A latent profile analysis and network analysis of cyber-deviance among adolescents: a case study of Jiangxi Province[J]. Journal of Shandong University (Health Sciences), 2026, 64(3): 35-44.

参考文献

[1] 马晓辉, 雷雳. 青少年网络道德与其网络偏差行为的关系[J]. 心理学报, 2010, 42(10): 988-997. MA Xiaohui, LEI Li. Adolescents Internet morality and deviant behavior online[J]. Acta Psychologica Sinica, 2010, 42(10): 988-997.
[2] Yen JL, Chamanadjian C. Cyberbullying and online aggression[J]. Pediatr Clin North Am, 2025, 72(2): 333-349.
[3] Di Caro AV, Cavallo J, Marchese EV, et al. Adolescents online pornography use and psychopathological symptoms: insights from a systematic review and meta-analysis[J]. Eur Child Adolesc Psychiatry, 2025. doi: 10.1007/s00787-025-02863-x
[4] Alhadidi I, Nweiran A, Hilal G. The influence of Cybercrime and legal awareness on the behavior of university of Jordan students[J]. Heliyon, 2024, 10(12): e32371. doi: 10.1016/j.heliyon.2024.e32371
[5] 赵龙, 王子奇. “人肉开盒” 行为的违法判断及民刑共治[J]. 山东科技大学学报(社会科学版), 2025, 27(2): 25-33. ZHAO Long, WANG Ziqi. Identification of illegality of the acts of “human flesh searching” and “doxxing” and their co-governance under the civil law and the criminal law[J]. Journal of Shandong University of Science and Technology(Social Sciences), 2025, 27(2): 25-33.
[6] Shtulman A. Childrens susceptibility to online misinformation[J]. Curr Opin Psychol, 2024, 55: 101753. doi: 10.1016/j.copsyc.2023.101753
[7] 方勇, 季为民, 沈杰. 中国未成年人互联网运用报告. 2024[M]. 北京: 社会科学文献出版社, 2024.
[8] Zhu CY, Huang SQ, Evans R, et al. Cyberbullying among adolescents and children: a comprehensive review of the global situation, risk factors, and preventive measures[J]. Front Public Health, 2021, 9: 634909. doi: 10.3389/fpubh.2021.634909
[9] Meng SQ, Cheng JL, Li YY, et al. Global prevalence of digital addiction in general population: a systematic review and meta-analysis[J]. Clin Psychol Rev, 2022, 92: 102128. doi: 10.1016/j.cpr.2022.102128
[10] Paulus FW, Nouri F, Ohmann S, et al. The impact of Internet pornography on children and adolescents: a systematic review[J]. Encephale, 2024, 50(6): 649-662.
[11] Green L, Brady D, ólafsson K, et al. Risks and safety for Australian children on the Internet[J]. Cult Sci J, 2011, 4: 20110001. doi: 10.5334/csci.40
[12] Jin CC, Wang BC, Ji AT, et al. Perceived parental monitoring and online deviant behavior among Chinese adolescents: a moderated mediation model[J]. J Child Fam Stud, 2022, 31(10): 2825-2836.
[13] Fang TT, Zhuo F, Xie XR, et al. Is social phobia associated with cyber-deviance and negative emotions in adolescents? A network analysis based on large cluster sampling[J]. Curr Psychol, 2025, 44(17): 14655-14665.
[14] Higgs J, Flowerday S. Detecting cybercrime in online video gaming[J]. Comput Secur, 2025, 156: 104528. doi: 10.1016/j.cose.2025.104528
[15] Chen JK, Chan HCO. International and interdisciplinary perspectives on school violence and bullying, cyber-bullying, and cyber deviance: an introductory essay[J]. Behav Sci Law, 2025, 43(2): 169-172.
[16] Kabadayi F. Smartphone addiction, depression, distress, eustress, loneliness, and sleep deprivation in adolescents: a latent profile and network analysis approach[J]. BMC Psychol, 2024, 12(1): 608. doi: 10.1186/s40359-024-02117-6
[17] Tibber MS, Wang ML, Zhang C. Network analysis of ecological momentary assessment exploring the role of online and offline social comparisons in the mood and wellbeing of undergraduate students[J]. Int J Hum, 2025, 41(8): 4934-4947.
[18] Zhao JK, Wu YB, Xu JY, et al. Rest intolerance and associated factors among Chinese nursing students: a cross-sectional network analysis[J]. BMC Nurs, 2025, 24(1): 793. doi: 10.1186/s12912-025-03472-4
[19] Wang S, Geng F, Gu MY, et al. Network analysis of childhood maltreatment and internet addiction in adolescents with major depressive disorder[J]. BMC Psychiatry, 2024, 24(1): 768. doi: 10.1186/s12888-024-06224-x
[20] Wu J, Wu XM, Tarimo CS, et al. Network analysis of Internet addiction and depression among Chinese adolescents[J]. J Affect Disord, 2025, 378: 119-127. doi: 10.1016/j.jad.2025.02.052
[21] Zhang ZC, He YY, Liu YH, et al. Network analysis of depression, insomnia and Internet addiction symptoms in Chinese college students[J]. J Affect Disord, 2025, 390: 119805. doi: 10.1016/j.jad.2025.119805
[22] Zhu XY, Lian W, Fan L. Network analysis of Internet addiction, online social anxiety, fear of missing out, and interpersonal sensitivity among Chinese university students[J]. Depress Anxiety, 2024, 2024: 5447802. doi: 10.1155/2024/5447802
[23] Feng XY, Wang WH, Luo J, et al. Network analysis of peer attachment and Internet addiction among Chinese adolescents[J]. Sci Rep, 2025, 15(1): 10711. doi: 10.1038/s41598-025-95526-5
[24] Gui Z, Sun HL, Feng Y, et al. The prevalence of Internet addiction and its association with quality of life among inflight security officers based on anational survey: a network analysis perspective[J]. Eur Arch Psychiatry Clin Neurosci, 2025, 275(7): 2085-2097.
[25] 解欣然, 禚凤, 杨楹, 等. 青少年抑郁障碍与多种心理行为问题的网络分析[J]. 山东大学学报(医学版), 2024, 62(12): 49-58. XIE Xinran, ZHUO Feng, YANG Ying, et al. A network analysis of adolescent depressive disorders and multiple psycho-behavioural problems[J]. Journal of Shandong University(Health Sciences), 2024, 62(12): 49-58.
[26] 李冬梅. 青少年网上偏差行为的实证与理论研究 [D]. 北京: 首都师范大学, 2008.
[27] Zhang M, Zhang DB, Wells MT. Variable selection for large P small n regression models with incomplete data: mapping QTL with epistases[J]. BMC Bioinformatics, 2008, 9: 251. doi: 10.1186/1471-2105-9-251
[28] Epskamp S, Fried EI. A tutorial on regularized partial correlation networks[J]. Psychol Methods, 2018, 23(4): 617-634.
[29] Jin XH, Chen W, Wu YN. A study of deviant behaviour among Chinas left-behind children: the impact of strain, social control and learning[J]. Child Fam Soc Work, 2025, 30(2): 166-177.
[30] Cicerone S, di Stefano G, Klavar S, et al. Burning some myths on privacy properties of social networks against active attacks [J]. arXiv:2504.16944. [2025-04-17]. https://doi.org/10.48550/arXiv.2504.16944
[31] Nair AS, Anand N, Sharma MK. Lived experiences of individuals with cyberviolence: understanding the nature of the dark side of social media use[J]. Ind Psychiatry J, 2025, 34(3): 456-462.
[32] Schulz PJ, Boldi MO, van Ackere A. Adolescent cyberbullying and cyber victimization: longitudinal study before and during COVID-19[J]. J Med Internet Res, 2025, 27: e70508. doi: 10.2196/70508
[33] Pang YL, Wang JY, Li WJ, et al. Social network sites usage, cyberbullying perpetration, and adolescent depression: a cross-lagged panel analysis[J]. Psychol Trauma, 2025, 17(Suppl 1): S14-S21.
[34] Jiang HB, Jin YC, Yang Q. Traditional bullying victimization and cyberbullying perpetration: the role of anger rumination and self-control[J]. Psychol Res Behav Manag, 2025, 18: 877-886. doi: 10.2147/PRBM.S507510
[35] Bushman BJ, Gabbiadini A, Greitemeyer T, et al. Violent video games and aggression[M] //Handbook of Children and Screens. Cham: Springer Nature Switzerland, 2024: 581-587. doi: 10.1007/978-3-031-69362-5_79
[36] Katarzyna T, Agnieszka MC. Gratitude interventions reduce cyber-aggression in adolescents: gender and disposition effects[J]. Sci Rep, 2025, 15: 14602. doi: 10.1038/s41598-025-97214-w
[37] Yip S, Jelen M, Aksen D, et al. Linking brain to other biological variables in the adolescent brain and cognitive development(ABCD)study: one size doesnt always fit all[J]. Biol Psychiatry, 2025, 97(9): S38. doi: 10.1016/j.biopsych.2025.02.106

多维度评价

Viewed

Full text

Abstract

Cited

Shared

Discussed