An Analysis of Tiktok New User Algorithm
Analisa Data Algoritma Pengguna Baru pada Tiktok
DOI:
https://doi.org/10.21070/epfje313Keywords:
content, genre, ANOVAAbstract
The study examines the differences in audience engagement with humor and religious content on Instagram through the analysis of psychological, social, and media aspects. Humor content attracts a larger audience due to its entertaining nature, while religious content has a smaller audience due to factors such as content type, socio-cultural dynamics, and platform algorithms. The testing of mean differences in audience engagement using ANOVA shows a significance value of 0.000, which is less than 5% (α = 0.05), indicating a significant difference between content genres on social media.
References
hapus nomor urut
R. Hayes, G. Pisano, D. Upton, and S. Wheelwright, Operations, Strategy, and Technology: Pursuing the Competitive Edge. Hoboken, NJ, USA: Wiley, 2005.
“Teknik Analisis Kuantitatif,” [Data publikasi, nama penulis, dan tahun belum tersedia].
M. M. Tamonob, M. Wutun, and M. V. D. Pabha Swan, “Aplikasi TikTok dan perilaku candu remaja,” Jurnal Mahasiswa Komunikasi, vol. 3, no. 2, [tahun dan halaman belum tersedia].
J. Bardi, T. Crimmins, and A. Michaels, “A Moment Special Report,” [Detail penerbit dan tahun publikasi belum tersedia].
F. A. Indriyani, A. Fauzi, and S. Faisal, “Analisis sentimen aplikasi TikTok menggunakan algoritma Naïve Bayes dan Support Vector Machine,” TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika, vol. 10, no. 2, pp. 176–184, 2023, doi: 10.37373/tekno.v10i2.419.
P. S. Rahmadani, “TikTok social media sentiment analysis using Naïve Bayes classifier,” Sinkron: Jurnal dan Penelitian Teknik Informatika, vol. 7, no. 3, pp. 995–999, 2022, doi: 10.33395/sinkron.v7i3.11579.
M. Chao, J. Lei, R. He, Y. Jiang, and H. Yang, “TikTok use and psychosocial factors among adolescents: Comparisons of non-users, moderate users, and addictive users,” Psychiatry Research, vol. 325, Art. no. 115247, 2023, doi: 10.1016/j.psychres.2023.115247.
G. Conte, G. Di Iorio, D. Esposito, S. Romano, F. Panvino, S. Maggi, B. Altomonte, M. P. Casini, M. Ferrara, and A. Terrinoni, “Scrolling through adolescence: A systematic review of the impact of TikTok on adolescent mental health,” European Child & Adolescent Psychiatry, vol. 34, no. 5, pp. 1511–1527, 2025, doi: 10.1007/s00787-024-02581-w.
P. Galanis, A. Katsiroumpa, Z. Katsiroumpa, P. Mangoulia, P. Gallos, I. Moisoglou, and E. Koukia, “Association between problematic TikTok use and mental health: A systematic review and meta-analysis,” AIMS Public Health, vol. 12, no. 2, pp. 491–519, 2025, doi: 10.3934/publichealth.2025027.
L. Jain, L. Velez, S. Karlapati, M. Forand, R. Kannali, R. A. Yousaf, R. Ahmed, Z. Sarfraz, P. A. Sutter, C. A. Tallo, and S. Ahmed, “Exploring problematic TikTok use and mental health issues: A systematic review of empirical studies,” Journal of Primary Care & Community Health, vol. 16, 2025, doi: 10.1177/21501319251327303.
A. Sala, L. Porcaro, and E. Gómez, “Social media use and adolescents’ mental health and well-being: An umbrella review,” Computers in Human Behavior Reports, vol. 14, Art. no. 100404, 2024, doi: 10.1016/j.chbr.2024.100404.
A. Orben, A. Meier, T. Dalgleish, and S.-J. Blakemore et al., “Mechanisms linking social media use to adolescent mental health vulnerability,” Nature Reviews Psychology, vol. 3, pp. 407–423, 2024, doi: 10.1038/s44159-024-00307-y.
A. K. Purba, R. M. Thomson, P. M. Henery, A. Pearce, M. Henderson, and S. V. Katikireddi, “Social media use and health risk behaviours in young people: Systematic review and meta-analysis,” BMJ, vol. 383, Art. no. e073552, 2023, doi: 10.1136/bmj-2022-073552.
E. Apriani, F. Oktavianalisti, L. D. H. Monasari, I. Winarni, and I. F. Hanif, “Analisis sentimen penggunaan TikTok sebagai media pembelajaran menggunakan algoritma Naïve Bayes Classifier,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 4, no. 3, 2024, doi: 10.57152/malcom.v4i3.1482.
I. A. Hidayah, R. Kusumawati, Z. Abidin, and M. Imamudin, “Analysis of public sentiment towards the TikTok application using the Naïve Bayes algorithm and Support Vector Machine,” Journal of Computer Networks, Architecture and High Performance Computing, vol. 6, no. 2, pp. 881–891, 2024, doi: 10.47709/cnahpc.v6i2.3990.
Published
Issue
Section
License
Copyright (c) 2026 Arry Wahyu Setiawan, Hamzah Setiawan
This work is licensed under a Creative Commons Attribution 4.0 International License.
