The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Explaining the success of social media with gratification niches: Motivations behind daytime, nighttime, and active use of TikTok in China
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In the citing paper
“whereas socially rewarding self-presentations were motivator for posting TikTok videos.”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Scherr and Wang (2021)
In the citing paper
“The only difference in relation to gender was in the case of escapism, which appeared to be more relevant for women.”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Scherr and Wang (2021)
In the citing paper
“Finally, trendiness was identified as the most important driver of daytime use”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Scherr and Wang (2021)
In the citing paper
“novelty as the most prominent driver of nighttime use”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Scherr and Wang (2021)
In the citing paper
“the authors discovered the four gratification categories: socially rewarding self-presentation, trendiness, escapist addiction, and novelty.”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Scherr and Wang (2021)
In the citing paper
“Observed by age, novelty was found to be the most important gratification for all users.”
From Applying Uses and Gratifications Theory to TikTok: A systematic literature review of users' motivations (2025) · cites this paper as Scherr and Wang (2021)
Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
(2017) · Cited by 16,319
Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But…
Hayes, A. F., & Coutts, J. J. (2020) · Communication Methods and Measures · doi:10.1080/19312458.2020.1718629 · Cited by 2,675
The uses of mass communications : current perspectives on gratifications research
Katz, E., & Blumler, J. G. (1975) · Medical Entomology and Zoology · Cited by 2,111
College students' social networking experiences on Facebook
Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2008.12.010 · Cited by 2,081
Online Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038
Raacke, J., & Bonds-Raacke, J. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0056 · Cited by 1,577
Nadkarni, A., & Hofmann, S. G. (2012) · Personality and Individual Differences · doi:10.1016/j.paid.2011.11.007 · Cited by 1,276
Social media engagement: What motivates user participation and consumption on YouTube?
Khan, M. L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.09.024 · Cited by 1,180
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Chen, X., Zhang, X., Fu, P., Wen, X., & Yan, Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5261066
Predictive Model of TikTok Virality in the 2023 Ecuador Runoff Election
Tabango, K. D. C., & Rivadeneira, L. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-98290-3_27
Y ve Z Kuşaklarında Sosyal Medya Kullanım Motivasyonlarının Karşılaştırmalı Olarak Keşifsel Analizi
Özkaya, B., & Kazançoğlu, İ. (2025) · International Journal of Management and Administration · doi:10.29064/ijma.1769276
TikTok as an academic tool: a bibliometric review of TikTok research
Fam, J. Y. (2025) · Information Communication & Society · doi:10.1080/1369118x.2025.2574303
Xiong, H., Wu, X., & Shi, J. (2025) · Journal Of Vacation Marketing · doi:10.1177/13567667251401237
TikTok: uses and motivations among teenagers in Port
Duarte, A., & Dias, P. (2021) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Beier, M. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-12801-0_1
Du, S., Liu, C., Hashim, N., & Kamarudin, S. (2026) · SAGE Open · doi:10.1177/21582440251414728 · Cited by 1
Liu, X., Zeng, W., Zheng, W., & Xie, J. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6149479
Clemente, R. G., Zúñiga, D. G. S., & Salazar, L. M. (2025) · Derecom Derecho de la Comunicación · doi:10.5209/dere.103259
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Black, A. E., Sharabi, L. L., Cloonan, S., & Beesley, K. (2026) · Journal of Social and Personal Relationships · doi:10.1177/02654075261430780
Reng, F. (2025) · De Gruyter eBooks · doi:10.1515/9783110793888-010
Sun, F., Song, H., & Jung, J. (2026) · Journal of Information Technology & Politics · doi:10.1080/19331681.2026.2660864
Huang, Y.-T., & Wang, T.-H. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2664689
Çelik, A. A., Altındağ, E., & Balcıoğlu, Y. S. (2026) · Telematics and Informatics Reports · doi:10.1016/j.teler.2026.100339
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Cervigón-Carrasco, V., Giménez‐García, C., Casas, M. A., Fernández‐García, O., & Ballester‐Arnal, R. (2026) · Current Psychology · doi:10.1007/s12144-026-09572-x
Lunardi, G. M., & Lotz, A. D. (2026) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565261460297
Goh, Z. H., Huang, Y., & Tandoc, E. C. (2026) · Media Asia · doi:10.1080/01296612.2026.2695270
Yang, S., Yang, H., Kang, Y., Bae, Y., Kim, N. Y., Kim, P., & Oh, U. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107478 · Cited by 3
Osman, S., Youssef, E., & Malek, M. A. (2026) · Cogent Arts and Humanities · doi:10.1080/23311983.2026.2700864
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Obadă, D.-R., & Ţugulea, O. (2026) · Telematics and Informatics Reports · doi:10.1016/j.teler.2026.100349
Mohammed, A., Achinivu, C., & Elega, A. A. (2026) · Journalism and Media · doi:10.3390/journalmedia7030165
Jung, H.-Y. (2026) · Journal of Digital Contents Society · doi:10.9728/dcs.2026.27.7.1871
王, 丽. (2026) · Advances in Psychology · doi:10.12677/ap.2026.168378
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Lee, D., & Cho, D. (2026) · Journal of Business Research · doi:10.1016/j.jbusres.2026.116503
Wu, W. V., Heng, L., & Damanik, H. H. (2026) · International Journal of Applied Linguistics · doi:10.1111/ijal.70367
Chen, X., Cui, M., Sun, P., & Yan, L. (2026) · Current Psychology · doi:10.1007/s12144-026-10015-w
ASSESSING THE IMPACT OF SHORT-TERM VIDEOS: A BIBLIOMETRIC ANALYSIS OF CURRENT TRENDS IN RESEARCH
Aarzoo, Tiwari, A., Upadhyay, N., & Sharma, P. (2026) · ShodhVichar Journal of Media and Mass Communication · doi:10.29121/shodhvichar.v2.i2.2026.119
Uses and Gratifications of Social Media Use
Menon, D. (2026) · Springer eBooks · doi:10.1007/978-3-031-52643-5_59-1
Metadata
- Authors
- Scherr, S., & Wang, K.
- Affiliations
- Texas A&M University (US)
- Zhejiang University (CN)
- Corresponding author
- Wang, Kexin
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 124
- Pages
- 106893
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W3168669550
- Cited by
- 230
- References
- 47
- Citations by year
- 2026: 31 · 2025: 51 · 2024: 58 · 2023: 54 · 2022: 30 · 2021: 6
- FWCI
- 16.60
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Computers in Human Behavior (publishedVersion)
- OPUS (Augsburg University) (submittedVersion, cc-by-nc-nd)
- Funders
- National Office for Philosophy and Social Sciences (19AXW007)
- Topics
- Social Sciences › Communication › Media and Digital Communication
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- TikTok, uses and gratifications theory, niche theory, motivations for social media use, novelty seeking, trendiness, self-presentation, competitive displacement, age differences, gender differences, China
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