The DOI matches its Crossref record; 79 of the 80 references it cites were found in a registry or an index.
The Stimulators of Social Media Fatigue Among Students: Role of Moral Disengagement
Abstract
There are increasing concerns about student’s possibility of becoming victim of negative online experiences, including cyberbullying victimization (CV). The outcome of these experiences on student’s psychological and mental health is not well understood. This study used stimulus–organism–response paradigm to inspect the antecedents of social media fatigue and how social media attachment (SMA) is related to internalizing disorders (depression and anxiety). We also examined the moderating role of moral disengagement in the positive association between SMA and CV. The distinctive stimulus–organism–response paradigm in the suggested model is empirically examined through a sample of 305 college students. SMA was related to more CV and greater symptoms of internalizing disorders. CV and internalizing disorders were positively associated with social media fatigue. Moral disengagement moderated the relationship between SMA and CV. Implications for online awareness struggles are discussed.
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“Increased cyberbullying, however, leads to more psychological distress, reduced life satisfaction, increased depressive symptoms and anxiety [131], or even suicidal thoughts and attempts [132].”
From How social media usage affects psychological and subjective well-being: testing a moderated mediation model (2023) · cites this paper as [131]
Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
(1985) · Medical Entomology and Zoology · Cited by 19,180
(1974) · Medical Entomology and Zoology · Cited by 7,295
Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014) · Psychological Bulletin · doi:10.1037/a0035618 · Cited by 3,266
Merrifield, P. R., & Harman, H. H. (1969) · American Educational Research Journal · doi:10.2307/1161864 · Cited by 2,574
Tokunaga, R. S. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.014 · Cited by 2,566
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1 of the 80 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Chin W. W., 1998, MIS Quarterly, 22
- Sansone R. A., 2008, Psychiatry (Edgmont), 5, 62
- Seligman M. E. P., 2001, Abnormal psychology
- Wang C., 2012, Communications of the Association for Information Systems (CAIS), 31
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Feng, Y.-L., You, Y.-Q., Guan, S., Yuan, Z.-N., & Chen, X. (2025) · PLoS ONE · doi:10.1371/journal.pone.0334231 · Cited by 3
Hidayanto, S., & Nurhaliza, W. O. S. (2022) · Jurnal Ilmu Komunikasi UHO Jurnal Penelitian Kajian Ilmu Komunikasi dan Informasi · doi:10.52423/jikuho.v7i4.26292 · Cited by 1
Nuseir, M. T., Refae, G. A. E., Alshurideh, M. T., Urabi, S., & Kurdi, B. H. A. (2023) · Studies in computational intelligence · doi:10.1007/978-3-031-12382-5_7 · Cited by 1
Readers' perceptions of self-harm messages on social media
Tan, W.-K., & Chiang, M.-H. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107209 · Cited by 2
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Prabowo, A. (2023) · Jurnal Psikologi Integratif · doi:10.14421/jpsi.v11i1.2586
Oanh, N. K., Phuong, M. T. D., Nam, T. T., Ba, N. T. K., & Huong, M. T. (2023) · Tạp chí Nghiên cứu Tài chính - Marketing · doi:10.52932/jfm.vi3.374
Khawaja, W. S., Raza, M., Israr, A., Aziz, A., & Ali, U. A. (2023) · Pakistan Journal of Humanities and Social Sciences · doi:10.52131/pjhss.2023.1103.0637
A Review on the Impacts of Social Media on the Mental Health
Tapu, M. A. B. S., Akash, R. S., Fahim, H. A., Jarin, T. M., Bhuiyan, T., Reza, A. W., & Arefin, M. S. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-50158-6_19
El-Amrosy, S. H. (2025) · Helwan International Journal of Nursing Research and Practice · doi:10.21608/hijnrp.2025.377447.1320
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Xu, C., Wang, S., Liu, Y., Ge, X., Yang, X., Fan, X., Li, L., Wang, Y., & Cai, Y. (2026) · Journal of Medical Internet Research · doi:10.2196/88857
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Bao, H., Wang, L., Lee, E. W. J., Zhi, P., Lin, F., & Wang, X. (2026) · Health Communication · doi:10.1080/10410236.2026.2703683
Bayram, F. (2026) · Mersin Üniversitesi Eğitim Fakültesi Dergisi · doi:10.17860/mersinefd.1972573
Metadata
- Authors
- Cao, X., Khan, A. N., Zaigham, G. H. K., & Khan, N. A.
- Affiliations
- Hefei University of Technology (CN)
- University of Science and Technology of China (CN)
- Corresponding author
- Khan, Ali N.
- Venue
- Journal of Educational Computing Research
- Publisher
- SAGE Publications
- Published
- 2018-06-14
- Volume
- 57
- Issue
- 5
- Pages
- 1083-1107
- ISSN
- 0735-6331 (ISSN-L)
- 1541-4140
- OpenAlex
- W2808011045
- Cited by
- 121
- References
- 80
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 9 · 2023: 27 · 2022: 17 · 2021: 21 · 2020: 16 · 2019: 11
- FWCI
- 27.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Educational Computing Research (publishedVersion)
- Funders
- National Natural Science Foundation of China (71502168)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
- Keywords
- social media fatigue, moral disengagement, cyber victimization, internalizing disorders, depression, anxiety, university students, stimulus-organism-response model, moderation
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