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ORIGINAL RESEARCH

The Relationship Between Social Media Information Sharing Characteristics and Problem Behaviors Among Chinese College Students Under Recommendation Algorithms

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Pages 2783-2794 | Received 19 Apr 2024, Accepted 12 Jul 2024, Published online: 23 Jul 2024

References

  • KAWO. 2023; China Social Media Platform Guide. Available from: https://t.cj.sina.com.cn/articles/v-iew/1577794853/5e0b3d2501901wcsn?autocallup=no&isfromsina=no&. Accessed July 16, 2024.
  • Chen JX, Dong JF. Research on the influential factors of social media users’ information sharing behavior from the perspective of information ecology. Lib Work Coll Unive. 2023;04:54–66 doi:10.3969/j.issn.1003-7845.2023.04.007.
  • Zhang T, Yan FJ. Youth values molding in the perspective of algorithm recommendation: challenges and optimization strategies. Stud Core Socialist Values. 2022;8(5):32–41 doi:10.16513/j.shzyhxjzgyj.2022.05.006.
  • Zou X, Xie JW. The Impact of Group Pressure on WeChat Users’ Information Sharing Behavior. J Res. 2019;09:69–82+120.
  • Zhang H, Jiang T, Wan XY, Sheng HG. The influence of Microblog information emotion type on user’ willingness to share: Analysis based on research on microblog hot events. J Intelligence. 2019;05:169–176. doi:10.3969/j.issn.1002-1965.2019.05.025
  • Huang W, X. BID, Yang T, et al. Mechanism of the influence of platform features on UGC information sharing behavior across social media. J Mod Inform. 2024;02:115–129. doi:10.3969/j.issn.1008-0821.2024.02.010
  • Chen M, Zhen H, J P, Qi X. Research on the continuity of information sharing desire on mobile social media. Inform Stud. 2017;04:37–43. doi:10.16353/j.cnki.1000-7490.2017.04.007
  • Xue X, Ma H, Zhao Y, Y X, Zhu QH. Investigation the influence of health misinformation features on users’ sharing willingness in social media. Lib Inform Serv. 2024;04:70–82. doi:10.13266/j.issn.0252-3116.2024.04.006
  • Su C, Zhou H, Gong L, Teng B, Hu Y, Hu Y. Viewing personalized video clips recommended by TikTok activates default mode network and ventral tegmental area. Neuroimage. 2021;237(6):118–136. doi:10.1016/jneuroimage.2021.118136
  • Hasan MR, Jha AK, Liu Y. Excessive use of online video streaming services: impact of recommender system use, psychological factors, and motives. Comp Human Behav. 2018;80:220–228. doi:10.1016/j.chb.2017.11.020
  • Marttila E, Koivula A, Rsnen P. Does excessive social media use decrease subjective well-being? A longitudinal analysis of the relationship between problematic use, loneliness, and life satisfaction. Telematics Inform. 2021;59(1):101556. doi:10.1016/jtele.2020.101556
  • Boursier V, Gioia F, Musetti A, Schimmenti A. Facing loneliness and anxiety during the COVID-19 isolation: the role of excessive social media use in a sample of Italian adults. Front Psych. 2020;11:11. doi:10.3389/fpsyt.2020.586222
  • Chen BZ, Zheng X, Sun XJ. The relationship between problematic social media use and online social anxiety: the role of social media cognitive overload and dispositional mindfulness. Psyc Develop Educ. 2023;39(05):743–751. doi:10.16187/j.cnki.issn1001-4918.2023.05.16
  • Huang C. A meta-analysis of the problematic social media use and mental health. Inter J Social Psych. 2022;68(1):12–33. doi:10.1177/0020764020978434
  • Mohamed AH. The excessive use of social media and its relationship to insomnia among female students at Hail University. Refund Stud Res Develop. 2021;3. doi:10.31559/EPS2021.9.3.16
  • Gao QF, Zhao JJ, Zhang DD, Zhang D. Inhibitory control in excessive social networking users: evidence from an event-related potential-based go-nogo task. Front Psych. 2019;10:1810. doi:10.3389/fpsyg.2019.01810
  • Masood A, Luqman A, Feng Y, Ali A. Adverse consequences of excessive social networking site use on academic performance: explaining underlying mechanism from stress perspective. Comp Human Behav. 2020;113. doi:10.1016/j.chb.2020.106476
  • Chan TKH, Cheung CMK, Lee ZWY, Neben T Why do I keep checking my Facebook? The role of urge in the excessive use of social networking sites. 2015 48th Hawaii International Conference on System Sciences. IEEE.
  • Sharif SP, Yeoh KK. Excessive social networking sites use and online compulsive buying in young adults: the mediating role of money attitude. Young Cons. 2018;19(3):310–327. doi:10.1108/YC-10-2017-00743
  • She L, Rasiah R, Waheed H, Sharif SP. Excessive use of social networking sites and financial well-being among young adults: the mediating role of online compulsive buying. Young Cons. 2021;22(2):272–289. doi:10.1108/YC-11-2020-1252
  • Meshi D, Elizarova A, Bender A, Verdejo-Garcia A. Excessive social media users demonstrate impaired decision-making in the Iowa gambling task. J Behav Addict. 2019;8(1):169–173. doi:10.1556/2006.7.2018.138
  • Drouin M, Miller DA. Why do people record and post illegal material? Excessive social media use, psychological disorder, or both? Comp Human Behav. 2015;48:608–614. doi:10.1016/j.chb.2015.02.030
  • Ren QJ, Zhao X, Han Y. Analysis on the causes of the information cocoons under user perspectives. Lib Inform Serv. 2021;65:120–127. doi:10.13266/jissn.0252-3116.2021
  • He YQ, Liu DR, Guo RT, Guo SP. Information Cocoons on Short Video Platforms and Its Influence on Depression Among the Elderly: a Moderated Mediation Model. Psyc Res Beh Manag. 2023;16:2469–2480. doi:10.2147/PRBM.S415832
  • Chen S, Qiu H, Zhao S, et al. When more is less: the other side of artificial intelligence recommendation. J Manag Scien Engin. 2022;7(2):20. doi:10.1016/j.jmse.2021.08.001
  • Merowitz J. Vanishing Territories: The Impact of Electronic Media on Social Behavior. Beijing: Tsinghua University Press; 2002.
  • Cargnino M, Neubaum G. Are we deliberately captivated by homogeneous cocoons? An investigation on political tie building on Facebook. Mass Comm Society. 2020;24(2):187–209. doi:10.1080/15205436.2020.1805632
  • Wu Y, Wu L, Niu GF, Chen ZZ, Liu LZ. The effect of WeChat Moments use on depression among college students: The role of negative social comparison and self-concept clarity. Psychol Develop Educ. 2020;4:486–493 doi:10.16187/j.cnki.issn1001-4918.2020.04.12.
  • Institute of Psychology, Chinese Academy of Sciences. China National Mental Health Development Report; 2021:Social Sciences Academic Press.
  • Imedia Research. Ranking of monthly operational data of China APP Market in 2022. Iimedia. Availabe from www.iimedia.cn/c880/91597.html. Accessed February 1, 2023
  • Li WJ. Based on the share of young users of social media content combination research [Doctoral Thesis]. Tsinghua University; 2021.
  • Dennis ML, Chan Y-F, Funk RR. Development and validation of the GAIN Short Screener (GSS) for internalizing, externalizing, and substance use disorders and crime /violence problems among adolescents and adults. Am J Addict. 2006;15(1):80–91. doi:10.1080/10550490601006055
  • Nylund KL, Asparouhov T, Muthen BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Model. 2007;14(4):535–569. doi:10.1080/10705510701575396
  • DeFluer ML, Ball-Rokeach SJ. Theor Mass Comm. New York: Longman; 1989.
  • Csikszentmihalyi M. Beyond Boredom Anxiety. San Francisco: Jossey-Bass; 1975.
  • Piao J, Liu J, Zhang F, Su J, Li Y. Human–ai adaptive dynamics drives the emergence of information cocoons. Nature Mach Intell. 2023;5(11):1214–1224. doi:10.1038/s42256-023-00731-4
  • Sunstein CR. The law of group polarization. In: Debating Deliberative Centre. Malden: Blackwell Publishing Ltd; 2003:80–101. doi:10.1002/9780470690734.ch4
  • Bessi A, Coletto M, Davidescu GA, Scala A, Caldarelli G, Quattrociocchi W. Science vs conspiracy: collective narratives in the age of misinformation. PLoSOne. 2015;10(2). doi:10.1371/journal.pone.0118093
  • Jiang T, Hou Y, Wang Q. Does micro-blogging make us “shallow”? Sharing information online interferes with information comprehension. Comp Human Beha. 2016;59(C):210–214. doi:10.1016/j.chb.2016.02.008
  • Xie JQ, Rost DH, Wang FX, Wang JL, Monk RL. The association between excessive social media use and distraction: an eye movement tracking study. Inform Manag. 2020;58(2). doi:10.1016/j.im.2020.103415
  • Wang L, Zhou H, Ren L, Me R. The relationship between adolescents’ Internet addiction, Internet deviant behavior, and general problem behavior. Chin J Spec Educ. 2010;17(8):74–79. doi:10.3969/j.issn.1007-3728.2010.08.015