The Impact of TikTok Social Media on Users: A Neuropsychological Perspective

Thomas Ari Wicaksono, Viki Love Reformasianto, Diffani Mufidah, Elsa Anggelina, Supra Wimbarti, Sri Kusrohmaniah

Abstract


TikTok has a personalized algorithm and is designed with a user-centered approach, which raises concerns about the impact it will have on cognitive function and user behavior. There is a lack of literature that discusses the integration of topics between the impact of TikTok algorithms on cognitive function and user behavior. This study uses the literature review method by collecting and selecting relevant literature from various databases to compile information about the impact of using TikTok on cognitive function and individual behavior in one scientific article. Based on the results of a review of 14 literatures, TikTok has a negative impact on several areas in the brain. The areas affected by using Tiktok are the user's reward system, activation of the default mode network (DMN) and ventral tegmental area (VTA), decreased gray matter volume (GMV) in the amygdala, and affect the hippocampus. Then, the impact of Tiktok on individual behavior includes decreased concentration, impulsivity in making decisions, and addictive behavior. Therefore, the use of TikTok needs to be balanced with awareness of the potential impact behind it and wise choices for its use.

TikTok memiliki Algoritma yang dipersonalisasi dan dirancang dengan pendekatan yang berpusat pada pengguna atau user-centered, hal ini menimbulkan kekhawatiran pada dampak yang akan dihasilkan pada fungsi kognitif dan perilaku pengguna. Kurangnya literatur yang membahas mengenai integrasi topik antara dampak algoritma Tiktok pada fungsi kognitif dan perilaku pengguna. Studi ini menggunakan metode literature review dilakukan dengan mengumpulkan dan menyeleksi literatur yang relevan dari berbagai database untuk menghimpun informasi mengenai dampak penggunaan Tiktok pada fungsi kognitif dan perilaku individu dalam satu artikel ilmiah. Berdasarkan hasil tinjauan dari 14 literatur, Tiktok memberi dampak negatif terhadap beberapa area di otak. Area yang terdampak dari penggunaan Tiktok yaitu reward system pengguna, aktivasi area default mode network (DMN) dan ventral tegmental area (VTA), penurunan grey matter volume (GMV) pada amygdala, dan mempengaruhi hippocampus. Kemudian, dampak Tiktok terhadap perilaku individu di antaranya menurunnya konsentrasi, impulsif dalam mengambil keputusan, dan perilaku adiktif. Karenanya, penggunaan Tiktok perlu diimbangin dengan kesadaran akan dampak potensial dibaliknya serta pilihan-pilihan bijak untuk penggunaannya.

Keywords


Behavior; Cognitive function; Tiktok

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References


Ahdiat, A. (2023). Berapa Lama Warga RI Gunakan Internet per Hari? Ini Surveinya. https://databoks.katadata.co.id/datapublish/2023/02/01/berapa-lama-warga-ri-gunakan-internet-per-hari-ini-surveinya

Anderson, K. E. (2020). Getting acquainted with social networks and apps: It is time to talk about TikTok. Library Hi Tech News, 37(4), 7–12. https://doi.org/10.1108/LHTN-01-2020-0001

Annur, C. M. (2024). Ini Media Sosial Paling Banyak Digunakan di Indonesia Awal 2024 | Databoks. https://databoks.katadata.co.id/datapublish/2024/03/01/ini-media-sosial-paling-banyak-digunakan-di-indonesia-awal-2024

Bishqemi, K., & Crowley, M. (2022). Tiktok vs. Instagram: algorithm comparison. Journal of Student Research, 11(1). https://doi.org/10.47611/jsrhs.v11i1.2428

Bulut, D. (2023). The association between attention impairments and the internet and social media usage among adolescents and young adults with potential consequences: a review of literature. Psychology, 14(08), 1310–1321. https://doi.org/10.4236/psych.2023.148073

Casale, S., Rugai, L., & Fioravanti, G. (2018). Exploring the role of positive metacognitions in explaining the association between the fear of missing out and social media addiction. Addictive Behaviors, 85, 83–87. https://doi.org/10.1016/j.addbeh.2018.05.020

Chen, Y., Li, M., Guo, F., & Wang, X. (2023). The effect of short-form video addiction on users’ attention. Behaviour & Information Technology, 42(16), 2893–2910. https://doi.org/10.1080/0144929X.2022.2151512

Chen, Z., & Shi, C. (2022). Analysis of algorithm recommendation mechanism of tiktok. International Journal of Education and Humanities, 4(1), 12–14. https://doi.org/10.54097/ijeh.v4i1.1152

(CNNIC), C. I. N. I. C. (2024). The 53th statistical report on china’s internet development. https://www.cnnic.com.cn/IDR/ReportDownloads/

Dixon. (2024). Global daily social media usage 2024. Statista. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/

Firth, J. A., Torous, J., & Firth, J. (2020). Exploring the impact of internet use on memory and attention processes. International Journal of Environmental Research and Public Health, 17(24), 9481. https://doi.org/10.3390/ijerph17249481

Firth, J., Torous, J., Stubbs, B., Firth, J. A., Steiner, G. Z., Smith, L., Alvarez‐Jimenez, M., Gleeson, J., Vancampfort, D., Armitage, C. J., & Sarris, J. (2019). The “online brain”: How the Internet may be changing our cognition. World Psychiatry, 18(2), 119–129. https://doi.org/10.1002/wps.20617

Guinaudeau, B., Munger, K., & Votta, F. (2022). Fifteen Seconds of Fame: TikTok and the Supply Side of Social Video. Computational Communication Research, 4(2), 463–485. https://doi.org/10.5117/CCR2022.2.004.GUIN

He, Q., Turel, O., Brevers, D., & Bechara, A. (2017). Excess social media use in normal populations is associated with amygdala-striatal but not with prefrontal morphology. Psychiatry Research: Neuroimaging, 269, 31–35. https://doi.org/10.1016/j.pscychresns.2017.09.003

Klug, D., Qin, Y., Evans, M., & Kaufman, G. (2021). Trick and please. A mixed-method study on user assumptions about the tiktok algorithm. 13th ACM Web Science Conference 2021, 84–92. https://doi.org/10.1145/3447535.3462512

Maulida, L., Selviana, S., & Nuzula, F. (2024). Tiktok social media addiction with bedtime procrastination. International Journal of Advanced Health Science and Technology, 4(1). https://doi.org/10.35882/ijahst.v4i1.312

Meshi, D., Tamir, D. I., & Heekeren, H. R. (2015). The emerging neuroscience of social media. Trends in Cognitive Sciences, 19(12), 771–782. https://doi.org/10.1016/j.tics.2015.09.004

Montag, C., Yang, H., & Elhai, J. D. (2021). On the psychology of tiktok use: a first glimpse from empirical findings. Frontiers in Public Health, 9, 641673. https://doi.org/10.3389/fpubh.2021.641673

Nurmala, M. D., Afrizal, S., & Wibowo, T. U. S. H. (2022). Dampak penggunaan aplikasi tiktok terhadap perubahan perilaku sosial mahasiswa. Jurnal hermeneutika. 8(1), 1-12. http://dx.doi.org/10.30870/hermeneutika.v8i1.15118

Pan, Y. (2023). Study on the influence of personalized algorithm of social media tiktok upon college students. Lecture Notes in Education Psychology and Public Media, 4(1), 1185–1196. https://doi.org/10.54254/2753-7048/4/2022860

Qin, Y., Omar, B., & Musetti, A. (2022). The addiction behavior of short-form video app TikTok: The information quality and system quality perspective. Frontiers in Psychology, 13, 932805. https://doi.org/10.3389/fpsyg.2022.932805

Rach, M., & Peter, M. K. (2021). How tiktok’s algorithm beats facebook & co. For attention under the theory of escapism: a network sample analysis of austrian, german and swiss users. In f. J. Martínez-López & D. López López (Eds.), Advances in Digital Marketing and eCommerce (pp. 137–143). Springer International Publishing. https://doi.org/10.1007/978-3-030-76520-0_15

Rajeshwari, S., & Meenakshi, S. (2023). The age of doom scrolling – Social media’s attractive addiction. Journal of Education and Health Promotion, 12(1), 21. https://doi.org/10.4103/jehp.jehp_838_22

Reed, P. (2023). Impact of social media use on executive function. Computers in Human Behavior, 141, 107598. https://doi.org/10.1016/j.chb.2022.107598

Scherr, S., & Wang, K. (2021). Explaining the success of social media with gratification niches: Motivations behind daytime, nighttime, and active use of TikTok in China. Computers in Human Behavior, 124, 106893. https://doi.org/10.1016/j.chb.2021.106893

Shanmugasundaram, M., & Tamilarasu, A. (2023). The impact of digital technology, social media, and artificial intelligence on cognitive functions: A review. Frontiers in Cognition, 2, 1203077. https://doi.org/10.3389/fcogn.2023.1203077

Sherman, L. E., Hernandez, L. M., Greenfield, P. M., & Dapretto, M. (2018). What the brain ‘Likes’: Neural correlates of providing feedback on social media. Social Cognitive and Affective Neuroscience, 13(7), 699–707. https://doi.org/10.1093/scan/nsy051

Sinha, R. K., Deb Roy, A., Kumar, N., & Mondal, H. (2023). Applicability of chatgpt in assisting to solve higher order problems in pathology. Cureus. https://doi.org/10.7759/cureus.35237

Srivastava, P. (2023). The Effect of Short-Form Video Exposure on Young Adults’ Sustained Attention Span and Comprehension of Information in Digital Texts and Videos.

Su, C., Zhou, H., Gong, L., Teng, B., Geng, F., & Hu, Y. (2021). Viewing personalized video clips recommended by TikTok activates default mode network and ventral tegmental area. NeuroImage, 237, 118136. https://doi.org/10.1016/j.neuroimage.2021.118136

Wadsley, M., & Ihssen, N. (2023). A systematic review of structural and functional mri studies investigating social networking site use. Brain Sciences, 13(5), 787. https://doi.org/10.3390/brainsci13050787

Xie, J., Xu, X., Zhang, Y., Tan, Y., Wu, D., Shi, M., & Huang, H. (2023). The effect of short-form video addiction on undergraduates’ academic procrastination: A moderated mediation model. Frontiers in Psychology, 14, 1298361. https://doi.org/10.3389/fpsyg.2023.1298361

Xu, Z., Gao, X., Wei, J., Liu, H., & Zhang, Y. (2023). Adolescent user behaviors on short video application, cognitive functioning and academic performance. Computers & Education, 203, 104865. https://doi.org/10.1016/j.compedu.2023.104865

Zhang, M., & Liu, Y. (2021). A commentary of tiktok recommendation algorithms in mit technology review 2021. Fundamental Research, 1(6), 846–847. https://doi.org/10.1016/j.fmre.2021.11.015

Zhao, Y. (2020). Analysis of tiktok’s success based on its algorithm mechanism. 2020 International Conference on Big Data and Social Sciences (ICBDSS), 19–23. https://doi.org/10.1109/ICBDSS51270.2020.00012

Zhao, Z. (2021). Analysis on the “douyin (tiktok) mania” phenomenon based on recommendation algorithms. E3S Web of Conferences, 235, 03029. https://doi.org/10.1051/e3sconf/202123503029




DOI: http://dx.doi.org/10.30872/psikostudia.v13i3.15920

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