The DOI matches its Crossref record.
Research on the Causes of the “Tik Tok” App Becoming Popular and the Existing Problems
Overview
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Claims other papers make about this one
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In the citing paper
“For instance, TikTok has a strong algorithm-driven presentation of contents compared to other SM, with content consumption forming the primary experience on the platform. This distinguishes TikTok from other popular SM, where algorithms are more frequently used to facilitate user interactions rather than primarily shaping content consumption [92].”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [92]
Citations
Cited by
Sorted by citations
Why’s Everyone on TikTok Now? The Algorithmized Self and the Future of Self-Making on Social Media
Bhandari, A., & Bimo, S. (2022) · Social Media + Society · doi:10.1177/20563051221086241 · Cited by 491
“On TikTok, unlike on other platforms, the user experience is obviously, unambiguously, and explicitly driven by what is commonly called the “For You” algorithm (Xu et al., 2019).”
MethodZhai, X., & Razali, A. B. (2021) · Universal Journal of Educational Research · doi:10.13189/ujer.2021.090710 · Cited by 121
Shen, Y., Wang, L., Huang, C., Guo, J., Leon, S. A. D., Lu, J., Luo, X., & Zhang, X. Y. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.10.054 · Cited by 94
The Rise of TikTok: The Evolution of a Social Media Platform During COVID-19
Feldkamp, J. (2021) · SpringerBriefs in information systems · doi:10.1007/978-3-030-66611-8_6 · Cited by 81
Conte, G., Iorio, G. D., Esposito, D., Romano, S., Panvino, F., Maggi, S., Altomonte, B., Casini, M. P., Ferrara, M., & Terrinoni, A. (2025) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-024-02581-w · Cited by 84
“In female teens, the presence of body image concerns may be a key mechanism leading from SM use to negative mental health outcomes by amplifying the importance placed on physical appearance and increasing the focus on receiving approval through measurable indicators [ 98 ].”
Metadata
- Authors
- Xu, L., Yan, X., & Zhang, Z.
- ORCID
- Zhang, Zhengwu
- Venue
- Journal of Advanced Management Science
- Publisher
- EJournal Publishing
- Published
- 2019
- Pages
- 59-63
- ISSN
- 2810-9740 (ISSN-L)
- 2168-0787
- OpenAlex
- W3036290145
- Cited by
- 163
- References
- 0
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 28 · 2023: 44 · 2022: 39 · 2021: 21 · 2020: 5
- FWCI
- 8.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Advanced Management Science (publishedVersion)
- Topics
- Social Sciences › Communication › Media and Digital Communication
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- TikTok, app popularity, social networking sites, user behavior
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.
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