Adolescent addiction to short video applications in the mobile internet era
Open accessAbstract
The adolescent addiction to short video applications is becoming increasingly prominent, which has brought great challenges to the physical and mental health and daily life of the adolescents. This manuscript conducts an empirical study on the contributing factors of the adolescent addiction to short video applications based on the user generated content (UGC). In our study, 96 participants aged 15–25 were surveyed by questionnaire, and then cross-analysis of individual factors and SEM analysis of UGC content factors were carried out. Through the analysis of individual factors of the adolescent addiction from the perspective of gender, age, and family environment, this study reveals that male users are more addicted to the use of applications (APP), and such addiction varies with age, and prolonged family members’ use of short video APP can also exacerbate the adolescent addiction degree. Furthermore, through verification of the theoretical model, it indicates that UGC perception and the degree of boredom in daily life have a significant positive effect on the level of addiction to short video applications, and the degree of boredom in daily life plays a significant mediating role between them. Based on the research on the influences of UGC on the adolescent immersive experience, this study proposes a mechanism of the adolescent addiction to the use of short video applications in the mobile Internet age to provide a better service guarantee for the adolescents.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Existing short video addiction scales have been adapted from other addiction behavior scales and exhibit notable limitations in reliability and validity, particularly when applied to the unique context of short video addiction.
“In summary, while existing short video addiction scales have been adapted from other addiction behavior scales, they exhibit notable limitations in reliability and validity, particularly when applied to the unique context of short video addiction.”
From Short video addiction scale for middle school students: development and initial validation (2025) · cites this paper as [15]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc.v1i1.3787 · Cited by 39,065 · see citing works
Emerging adulthood: A theory of development from the late teens through the twenties.
Arnett, J. J. (2000) · American Psychologist · doi:10.1037/0003-066x.55.5.469 · Cited by 16,843 · see citing works
Making sense of cronbach’s alpha.
Tavakol, M., & Dennick, R. (2011) · International Journal of Medical Education · doi:10.5116/ijme.4dfb.8dfd · Cited by 15,126 · see citing works
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287 · see citing works
The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education
Taber, K. S. (2018) · Research in Science Education · doi:10.1007/s11165-016-9602-2 · Cited by 10,679 · see citing works
Flow: The Psychology of Optimal Experience
Buchanan, R., & Csíkszentmihályi, M. (1991) · Design Issues · doi:10.2307/1511458 · Cited by 9,437 · see citing works
A Tutorial on Principal Component AnalysisPreprint
Shlens, J. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1404.1100 · Cited by 2,255 · see citing works
Optimal experience in work and leisure.
Csikszentmihalyi, M., & LeFevre, J. (1989) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.56.5.815 · Cited by 1,943 · see citing works
Pekrun, R. H., Goetz, T., Daniels, L. M., Stupnisky, R. H., & Perry, R. P. (2010) · Journal of Educational Psychology · doi:10.1037/a0019243 · Cited by 1,239 · see citing works
The effects of social deprivation on adolescent development and mental health
Orben, A., Tomova, L., & Blakemore, S.-J. (2020) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(20)30186-3 · Cited by 1,229 · see citing works
Odgers, C. L., & Jensen, M. R. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13190 · Cited by 1,189 · see citing works
Boredom proneness--the development and correlates of a new scale
Farmer, R., & Sundberg, N. D. (1986) · Journal of Personality Assessment · doi:10.1207/s15327752jpa5001_2 · Cited by 986 · see citing works
Internet Addiction or Excessive Internet Use
Weinstein, A., & Lejoyeux, M. (2010) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2010.491880 · Cited by 929 · see citing works
Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research
Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.009 · Cited by 920 · see citing works
Cho, E., & Kim, S. (2014) · Organizational Research Methods · doi:10.1177/1094428114555994 · Cited by 812 · see citing works
Doing Well by Doing Good: The Benevolent Halo of Corporate Social Responsibility
Chernev, A., & Blair, S. (2015) · Journal of Consumer Research · doi:10.1086/680089 · Cited by 655 · see citing works
Kaye, D. B. V., Chen, X., & Zeng, J. (2021) · Mobile Media & Communication · doi:10.1177/2050157920952120 · Cited by 500 · see citing works
Exploring short-form video application addiction: socio-technical and attachment perspectives
Zhang, X., Wu, Y., & Liu, S. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.101243 · Cited by 469 · see citing works
Comparison of the middle-aged and older users’ adoption of mobile health services in China
Deng, Z., Mo, X., & Liu, S. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.12.002 · Cited by 435 · see citing works
Boredom: Practical consequences and a theory
O’Hanlon, J. F. (1981) · Acta Psychologica · doi:10.1016/0001-6918(81)90033-0 · Cited by 421 · see citing works
Wan, C., & Chiou, W. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.317 · Cited by 393 · see citing works
Zatori, A., Smith, M. K., & Puczko, L. (2018) · Tourism Management · doi:10.1016/j.tourman.2017.12.013 · Cited by 388 · see citing works
Mechanisms contributing to prefrontal cortex maturation during adolescence
Caballero, A., Granberg, R., & Tseng, K. Y. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.013 · Cited by 357 · see citing works
Krumm, J. C., Davies, N., & Narayanaswami, C. (2008) · IEEE Pervasive Computing · doi:10.1109/mprv.2008.85 · Cited by 335 · see citing works
Types of boredom: An experience sampling approach
Goetz, T., Frenzel, A. C., Hall, N. C., Nett, U. E., Pekrun, R. H., & Lipnevich, A. A. (2013) · Motivation and Emotion · doi:10.1007/s11031-013-9385-y · Cited by 334 · see citing works
Hong, F.-Y., Huang, D.-H., Lin, H.-Y., & Chiu, S.-L. (2014) · Telematics and Informatics · doi:10.1016/j.tele.2014.01.001 · Cited by 330 · see citing works
Puberty and structural brain development in humans
Herting, M. M., & Sowell, E. R. (2016) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2016.12.003 · Cited by 305 · see citing works
Leung, H., Shek, D. T. L., Leung, E. Y. K., et al. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16040621 · Cited by 283 · see citing works
Throuvala, M. A., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.012 · Cited by 272 · see citing works
Boredom as a seeking state: Boredom prompts the pursuit of novel (even negative) experiences.
Bench, S. W., & Lench, H. C. (2018) · Emotion · doi:10.1037/emo0000433 · Cited by 241 · see citing works
How does social presence influence SNS addiction? A belongingness theory perspective
Gao, W., Liu, Z., & Li, J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.09.002 · Cited by 235 · see citing works
Self-citationFlow in Knowledge Work: High Performance Experience in the Design of National Security Technology
Quinn, R. W. (2005) · Administrative Science Quarterly · doi:10.2189/asqu.50.4.610 · Cited by 227 · see citing works
Vogel-Walcutt, J. J., Fiorella, L., Carper, T. M., & Schatz, S. L. (2011) · Educational Psychology Review · doi:10.1007/s10648-011-9182-7 · Cited by 217 · see citing works
Adolescent Peer Influence on Eating Behaviors via Social Media: Scoping Review
Chung, A., Vieira, D. L., Donley, T., Tan, N. E., Jean‐Louis, G., Gouley, K. K., & Seixas, A. A. (2021) · Journal of Medical Internet Research · doi:10.2196/19697 · Cited by 208 · see citing works
Yen, J., Ko, C., Yen, C., Chen, C., & Chen, C. (2009) · Psychiatry and Clinical Neurosciences · doi:10.1111/j.1440-1819.2009.01943.x · Cited by 207 · see citing works
Strategic customer engagement marketing: A decision making framework
Alvarez-Milán, A., Felix, R., Rauschnabel, P. A., & Hinsch, C. A. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.07.017 · Cited by 169 · see citing works
Chao, M., Chen, X., Liu, T., Yang, H., & Hall, B. J. (2020) · European Journal of Psychotraumatology · doi:10.1080/20008198.2020.1769379 · Cited by 144 · see citing works
Smith, T. E., & Short, A. (2022) · Addictive Behaviors · doi:10.1016/j.addbeh.2022.107259 · Cited by 134 · see citing works
Enstad, F., Evans-Whipp, T. J., Kjeldsen, A., Toumbourou, J. W., & von Soest, T. (2019) · BMC Public Health · doi:10.1186/s12889-019-7099-0 · Cited by 126 · see citing works
Liu, Y., Jiang, C., & Zhao, H.-M. (2019) · Decision Support Systems · doi:10.1016/j.dss.2019.113079 · Cited by 119 · see citing works
Prospective examination of adolescent sleep patterns and behaviors before and during COVID-19
Becker, S. P., Dvorsky, M. R., Breaux, R., Cusick, C. N., Taylor, K. P., & Langberg, J. M. (2021) · Sleep · doi:10.1093/sleep/zsab054 · Cited by 116 · see citing works
More Bored Today Than Yesterday? National Trends in Adolescent Boredom From 2008 to 2017
Weybright, E. H., Schulenberg, J. E., & Caldwell, L. L. (2019) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.09.021 · Cited by 108 · see citing works
Geng, R., & Chen, J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.697382 · Cited by 108 · see citing works
Chou, W., Chang, Y., & Yen, C. (2018) · The Kaohsiung Journal of Medical Sciences · doi:10.1016/j.kjms.2018.01.016 · Cited by 97 · see citing works
Deng, S., Wang, W., Xie, P., Chao, Y., & Zhu, J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.567784 · Cited by 96 · see citing works
Li, X., Feng, X.-C., Xiao, W., & Zhou, H. (2021) · Psychology Research and Behavior Management · doi:10.2147/prbm.s315879 · Cited by 95 · see citing works
Marty-Dugas, J., & Smilek, D. (2018) · Psychological Research · doi:10.1007/s00426-018-1031-6 · Cited by 93 · see citing works
Spaeth, M., Weichold, K., & Silbereisen, R. K. (2015) · Developmental Psychology · doi:10.1037/a0039480 · Cited by 92 · see citing works
Short-term abstinence effects across potential behavioral addictions: A systematic review
Fernandez, D. P., Kuss, D. J., & Griffiths, M. D. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101828 · Cited by 87 · see citing works
Bargdill, R. W. (2000) · Journal of Phenomenological Psychology · doi:10.1163/15691620051090979 · Cited by 86 · see citing works
An empirical evaluation of the User Engagement Scale (UES) in online news environments
O'Brien, H. L., & Cairns, P. A. (2015) · Information Processing & Management · doi:10.1016/j.ipm.2015.03.003 · Cited by 85 · see citing works
Bai, J., Mo, K., Yue, P., Hao, W., Qu, Y., Lei, X., & Yang, Y. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.568492 · Cited by 81 · see citing works
Development of a Questionnaire to Measure Immersion in Video Media: The Film IEQ
Rigby, J., Brumby, D., Gould, S., & Cox, A. (2019) · ACM International Conference on Interactive Experiences for TV and Online Video · doi:10.1145/3317697.3323361 · Cited by 80 · see citing works
Flow theory – goal orientation theory: positive experience is related to athlete’s goal orientation
Stavrou, N. A. M., Psychountaki, M., Georgiadis, E. M., Karteroliotis, K. E., & Zervas, Y. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01499 · Cited by 77 · see citing works
Guillot, C. R., Bello, M. S., Tsai, J., Huh, J., Leventhal, A. M., & Sussman, S. Y. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.04.019 · Cited by 76 · see citing works
Petrič, G., Atanasova, S., & Kamin, T. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7372 · Cited by 74 · see citing works
Brand-related user-generated content on social media: the roles of source and sponsorship
Kim, M., & Lee, M. (2017) · Internet Research · doi:10.1108/intr-07-2016-0206 · Cited by 72 · see citing works
Yang, Z., Griffiths, M. D., Yan, Z., & Xu, W. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147247 · Cited by 69 · see citing works
The Impact of Flow Experience and Personality Type on the Intention to Use Virtual World
Ahmad, N., & Abdulkarim, H. (2018) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2018.1509500 · Cited by 65 · see citing works
Coping With Emerging Mobile Social Media Applications Through Dynamic Service Function Chaining
Taleb, T., Ksentini, A., Chen, M., & Jäntti, R. (2015) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2015.2512274 · Cited by 59 · see citing works
Zhao, K., Zhang, P., & Lee, H.-M. (2021) · Decision Support Systems · doi:10.1016/j.dss.2021.113684 · Cited by 58 · see citing works
Sharif, S. P., & Naghavi, N. (2020) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2020.1861761 · Cited by 56 · see citing works
Mohammad, J., Quoquab, F., Ramayah, T., & Alolayyan, M. N. (2020) · Cited by 55 · see citing works
Ghermandi, A., Depietri, Y., & Sinclair, M. M. (2021) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2021.104261 · Cited by 55 · see citing works
Gana, K., Broc, G., & Bailly, N. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.11.030 · Cited by 53 · see citing works
Living in a Moment: Impact of TicTok on Influencing Younger Generation into Micro-Fame
(2019) · Journal of Content Community and Communication · doi:10.31620/jccc.12.19/19 · Cited by 50 · see citing works
Exploring neuroticism and extraversion in flow and user generated content consumption
Moon, Y. J., Kim, W. G., & Armstrong, D. J. (2014) · Information & Management · doi:10.1016/j.im.2014.02.004 · Cited by 49 · see citing works
Fatigue, boredom and objectively measured smartphone use at work
Dora, J., van Hooff, M. L. M., Geurts, S. A. E., Kompier, M. A. J., & Bijleveld, E. (2021) · Royal Society Open Science · doi:10.1098/rsos.201915 · Cited by 47 · see citing works
Qu, J. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10614-z · Cited by 45 · see citing works
The concept of akrasia as the foundation for a dual systems theory of addiction
Heather, N. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112666 · Cited by 44 · see citing works
Rachmatullah, A., Reichsman, F., Lord, T., Dorsey, C., Mott, B., Lester, J. C., & Wiebe, E. (2021) · Journal of Science Education and Technology · doi:10.1007/s10956-020-09896-8 · Cited by 40 · see citing works
Donati, M. A., Beccari, C., & Primi, C. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.107132 · Cited by 39 · see citing works
Monacis, L., Griffiths, M. D., Limone, P., & Sinatra, M. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101709 · Cited by 38 · see citing works
Poon, D. C. H., & Leung, L. W. (2011) · International Journal of Cyber Behavior Psychology and Learning · doi:10.4018/ijcbpl.2011070101 · Cited by 37 · see citing works
Sustained attention and the experience of flow
Marty-Dugas, J., Howes, L. L., & Smilek, D. (2020) · Psychological Research · doi:10.1007/s00426-020-01433-x · Cited by 35 · see citing works
Boredom Makes Me Sick: Adolescents’ Boredom Trajectories and Their Health-Related Quality of Life
Schwartze, M. M., Frenzel, A. C., Goetz, T., Pekrun, R. H., Reck, C., Marx, A. K. G., & Fiedler, D. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18126308 · Cited by 34 · see citing works
Digital natives’ snack content consumption and their goals: A means-end chain approach
Nam, J., & Jung, Y. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101664 · Cited by 34 · see citing works
Mobile internet and consumer happiness: the role of risk
Zhan, G., & Zhou, Z. (2018) · Internet Research · doi:10.1108/intr-11-2016-0340 · Cited by 32 · see citing works
SNS use leads to luxury brand consumption: evidence from China
Wang, W., Nuoya, C., Li, J., & Sun, G. (2020) · Journal of Consumer Marketing · doi:10.1108/jcm-09-2019-3398 · Cited by 32 · see citing works
Elgaaïed‐Gambier, L., & Mandler, T. (2021) · Ecological Economics · doi:10.1016/j.ecolecon.2021.107089 · Cited by 32 · see citing works
User-generated content (UGC) misclassification and its effects
Rajamma, R. K., Paswan, A. K., & Spears, N. E. (2019) · Journal of Consumer Marketing · doi:10.1108/jcm-08-2018-2819 · Cited by 31 · see citing works
Freund, V. A., Schulenberg, J. E., & Maslowsky, J. (2021) · Prevention Science · doi:10.1007/s11121-020-01198-0 · Cited by 31 · see citing works
Do different kinds of user-generated content in online brand communities really work?
Estrella-Ramón, A., & Ellis‐Chadwick, F. (2017) · Online Information Review · doi:10.1108/oir-08-2016-0229 · Cited by 29 · see citing works
Klein, S. P., & Watson‐Manheim, M. B. (2021) · Information and Organization · doi:10.1016/j.infoandorg.2021.100377 · Cited by 27 · see citing works
Objectivity and Subjectivity in Games: Understanding Engagement and Addiction Mechanism
Khalid, M. N. A., & Iida, H. (2021) · IEEE Access · doi:10.1109/access.2021.3075954 · Cited by 26 · see citing works
Yi, K., Wang, Q., Xu, J., & Liu, B. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.797482 · Cited by 26 · see citing works
Social Connections in User-Generated Content Video Systems: Analysis and Recommendation
Li, Z., Lin, J., Salamatian, K., & Xie, G. (2012) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2012.100512.120233 · Cited by 18 · see citing works
Yi, K., Li, Y., Peng, H., Wang, X., & Tu, R. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.781710 · Cited by 18 · see citing works
Boredom susceptibility as predictor of smoking cessation outcomes: Sex differences
Martínez-Vispo, C., Senra, C., López‐Durán, A., del Río, E. F., & Becoña, E. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.03.026 · Cited by 16 · see citing works
Impact of individual and brand level factors in generation of different user-generated content
Söylemez, K. C. (2021) · Journal of Consumer Marketing · doi:10.1108/jcm-12-2019-3521 · Cited by 13 · see citing works
Yi, K., Zhang, D., Cheng, H., et al. (2020) · Journal of Coastal Research · doi:10.2112/si103-234.1 · Cited by 11 · see citing works
A proposal for measuring hotels’ managerial responses to User-Generated-Content Reviews
Pérez-Aranda, J., Arán, M. V., & Molinillo, S. (2018) · Tourism & Management Studies · doi:10.18089/tms.2018.14si101 · Cited by 9 · see citing works
Wang, C. A., & Yi, K. (2020) · Journal of Coastal Research · doi:10.2112/si103-235.1 · Cited by 9 · see citing works
Zhang, L., Yi, K., & Zhang, D. (2020) · Journal of Coastal Research · doi:10.2112/jcr-si104-016.1 · Cited by 9 · see citing works
Safavi, M., Bastani, S., & Landfeldt, B. (2019) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2019.2961560 · Cited by 7 · see citing works
Liu, B., Wang, Y., Katsumata, S., Li, Y., Gao, W., & Li, X. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.784005 · Cited by 7 · see citing works
Subtle Signals of Status on Social Network Sites: Evidence From China
Wang, W., Shao, T., Yi, Y., Fang, S., Song, J., & Yu, Z. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.741602 · Cited by 5 · see citing works
Liu, B., Wang, Y., Katsumata, S., et al. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.824855 · Cited by 5 · see citing works
Li, N., Yan, J., & Wu, F. Q. (2021) · Scientific and Social Research · doi:10.36922/ssr.v3i3.1170 · Cited by 5 · see citing works
Flow and Hypnotizability in a College Student Population
Bowers, J., Na, H., & Elkins, G. R. (2018) · International Journal of Clinical and Experimental Hypnosis · doi:10.1080/00207144.2018.1468159 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Jacques R. D. (1996). The Nature of Engagement and its Role in Hypermedia Evaluation and Design. Doctoral dissertation. London: South Bank University.
Cited by
Sorted by citations
Adolescents’ short-form video addiction and sleep quality: the mediating role of social anxiety
Jiang, L., & Yoo, Y. (2024) · BMC Psychology · doi:10.1186/s40359-024-01865-9 · Cited by 76 · see citing works
“As pointed out in “Blue Book of Teenagers: Annual Report on the Internet Use by Minors in China (2021),” adolescents have become the largest group of short-form video users [7].”
BackgroundGao, Y., Hu, Y., Wang, J., Liu, C., Im, H., Jin, W., Zhu, W., Ge, W., Zhao, G., Yao, Q., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121029 · Cited by 43 · see citing works
Short video addiction scale for middle school students: development and initial validation
Ye, J., Wang, W., Huang, D., Ma, S., Chen, S., Dong, W., & Zhao, X. (2025) · Scientific Reports · doi:10.1038/s41598-025-92138-x · Cited by 20 · see citing works
The binge scrolling scale measures excessive scrolling through a validated three-factor structure
Savci, M., Savci, H., Ugur, E., Zincirli, M., & Elhai, J. D. (2025) · Scientific Reports · doi:10.1038/s41598-025-31861-x · Cited by 2 · see citing works
“Moreover, boredom and exposure to user-generated content (UGC) have been identified as significant factors driving excessive short video application use, as such platforms provide novel stimuli that promote flow experiences and habitual behaviors 5,6 .”
Dong, J., Zhang, H., Zhao, J., & Yuan, R. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1907189
- Authors
- Lu, L., Liu, M., Ge, B., Bai, Z., & Liu, Z.
- Affiliations
- Jiangxi University of Finance and Economics (CN)
- Sun Yat-sen University (CN)
- East China Jiaotong University (CN)
- Corresponding author
- Ge, Binchao
- ORCID
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2022-05-10
- Volume
- 13
- Pages
- 893599-893599
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC9127662
- OpenAlex
- W4229442680
- Cited by
- 82
- References
- 100
- Citations by year
- 2026: 31 · 2025: 28 · 2024: 14 · 2023: 8 · 2022: 1
- FWCI
- 18.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- adolescent addiction, user-generated content, mobile internet, boredom, family influence, gender differences, age differences, immersive experience, adolescent mental health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review