PROFILE OF DOOMSCROLLING AMONG JUNIOR HIGH SCHOOL STUDENTS AND ITS IMPLICATIONS FOR GUIDANCE AND COUNSELING SERVICES

Authors

  • Faza Zahra Wulan Rajbina UNIVERSITAS NEGERI MALANG
  • Yuliati Hotifah Universitas Negeri Malang, Malang, Indonesia

DOI:

https://doi.org/10.36526/sosioedukasi.v15i3.8894

Keywords:

Digital Literacy, Doomscrolling, Guidance and Counseling, Junior High School Students, Social Media

Abstract

This study aims to describe the doomscrolling profiles of junior high school students and to formulate implications for guidance and counseling services in schools. The study employed a quantitative approach using a descriptive survey method involving 462 students at SMPN 1 Malang. Data were collected using the Indonesian version of the doomscrolling scale, consisting of 15 items with a seven-point Likert scale. Data analysis was conducted through descriptive statistics, score categorization, item analysis, and reliability testing. The results indicate that students’ doomscrolling tendencies generally fall into the low category, suggesting that the behavior of repeatedly seeking out negative information has not yet become a dominant digital habit among the majority of students. Nevertheless, there are still some students with moderate to very high tendencies who require attention within guidance and counseling services. Key findings relate to the habit of checking the news feed to confirm the occurrence of bad events, a fear of social media content but difficulty looking away, and the use of social media late into the night to search for negative news. This study provides an initial mapping of doomscrolling behavior among junior high school students in Indonesia as an empirical basis for the development of guidance and counseling services based on digital literacy, self-regulation, and digital well-being. Service implications can be addressed through classroom-based guidance focused on news literacy, group guidance using self-management techniques, group counseling using the Rational Emotive Behavior Therapy (REBT) approach, and individual counseling using the Cognitive Behavioral Therapy (CBT) approach.

References

Agyapong-Opoku, N., Agyapong-Opoku, F., & Greenshaw, A. J. (2025). Effects of social media use on youth and adolescent mental health: A scoping review of reviews. Behavioral Sciences, 15(5), 574. https://doi.org/10.3390/bs15050574

Amado-Rodríguez, I. D., Casañas, R., Mas-Expósito, L., Castellví, P., Roldan-Merino, J. F., Casas, I., Lalucat-Jo, L., & Fernández-San Martín, M. I. (2022). Effectiveness of mental health literacy programs in primary and secondary schools: A systematic review with meta-analysis. Children, 9(4), 480. https://doi.org/10.3390/children9040480

Ameliah, R., Negara, R. A., Minarto, B., Manurung, T. M., & Akbar, M. (2022). Status literasi digital di Indonesia 2022. Katadata Insight Center & Kementerian Komunikasi dan Informatika Republik Indonesia.

American Psychological Association. (2023). Health advisory on social media use in adolescence. American Psychological Association. https://www.apa.org/topics/social-media-internet/health-advisory-adolescent-social-media-use

Anand, N., Sharma, M. K., Thakur, P. C., Mondal, I., Sahu, M., Singh, P., J., A. S., Kande, J. S., & MS, N. (2022). Doomsurfing and doomscrolling mediate psychological distress in COVID–19 lockdown: Implications for awareness of cognitive biases. Perspectives in Psychiatric Care, 58(1), 170–172. https://doi.org/10.1111/ppc.12803

Andersen, K., Djerf-Pierre, M., & Shehata, A. (2024). The scary world syndrome: News orientations, negativity bias, and the cultivation of anxiety. Mass Communication and Society, 27(3), 502–524. https://doi.org/10.1080/15205436.2023.2297829

APJII. (2024). Jumlah pengguna internet Indonesia tembus 221 juta orang. Asosiasi Penyelenggara Jasa Internet Indonesia. https://www.apjii.id/berita/d/apjii-jumlah-pengguna-internet-indonesia-tembus-221-juta-orang

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014

Beyens, I., Pouwels, J. L., van Driel, I. I., Keijsers, L., & Valkenburg, P. M. (2020). The effect of social media on well-being differs from adolescent to adolescent. Scientific Reports, 10, 10763. https://doi.org/10.1038/s41598-020-67727-7

Boer, M., Stevens, G. W. J. M., Finkenauer, C., de Looze, M. E., & van den Eijnden, R. J. J. M. (2020). Adolescents’ intense and problematic social media use and their well-being in 29 countries. Journal of Adolescent Health, 66(6S), S89-S99. https://doi.org/10.1016/j.jadohealth.2020.02.014

Buchanan, K., Aknin, L. B., Lotun, S., & Sandstrom, G. M. (2021). Brief exposure to social media during the COVID–19 pandemic: Doom-scrolling has negative emotional consequences, but kindness-scrolling does not. PLoS ONE, 16(10), e0257728. https://doi.org/10.1371/journal.pone.0257728

Casale, S., Akbari, M., Seydavi, M., Bocci Benucci, S., & Fioravanti, G. (2023). Has the prevalence of problematic social media use increased over the past seven years and since the start of the COVID–19 pandemic? Addictive Behaviors, 147, 107838. https://doi.org/10.1016/j.addbeh.2023.107838

Conte, G., Di Iorio, G., Esposito, D., Romano, S., Panvino, F., Maggi, S., Altomonte, B., Casini, M. P., Ferrara, M., & Terrinoni, A. (2025). Scrolling through adolescence: A systematic review of the impact of TikTok on adolescent mental health. European Child & Adolescent Psychiatry, 34(5), 1511–1527. https://doi.org/10.1007/s00787-024-02581-w

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. Sage.

Dewi, S. Y., & Lestari, Y. M. (2020). Validity and reliability of Indonesian Social Media Disorder Scale in adolescent. Jurnal Profesi Medika: Jurnal Kedokteran dan Kesehatan, 14(2). https://doi.org/10.33533/jpm.v14i2.2049

Dienlin, T., & Johannes, N. (2020). The impact of digital technology use on adolescent well-being. Dialogues in Clinical Neuroscience, 22(2), 135–142. https://doi.org/10.31887/DCNS.2020.22.2/tdienlin

Fidella, V., Panggabean, S. A. A., Aabidah, S., & Budiani, M. S. (2025). Doomscrolling among generation Z social media users on Twitter and Instagram in Indonesia. Motiva: Jurnal Psikologi, 8(1), 74–82. https://doi.org/10.31293/mv.v8i1.8646

Ghai, S., Magis-Weinberg, L., Stoilova, M., Livingstone, S., & Orben, A. (2022). Social media and adolescent well-being in the Global South. Current Opinion in Psychology, 46, 101318. https://doi.org/10.1016/j.copsyc.2022.101318

Huang, C. (2020). A meta-analysis of the problematic social media use and mental health. International Journal of Social Psychiatry, 68(1), 12–33. https://doi.org/10.1177/0020764020978434

Kaloeti, D. V. S., Kurnia S, A., & Tahamata, V. M. (2021). Validation and psychometric properties of the Indonesian version of the Fear of Missing Out Scale in adolescents. Psicologia: Reflexão e Crítica, 34, 15. https://doi.org/10.1186/s41155-021-00181-0

Karim, F., Oyewande, A. A., Abdalla, L. F., Ehsanullah, R. C., & Khan, S. (2020). Social media use and its connection to mental health: A systematic review. Cureus, 12(6), e8627. https://doi.org/10.7759/cureus.8627

Kurnianto, A., Dhamayanti, M., Tarigan, R., Fadlyana, E., Rusmil, K., Sitaresmi, M. N., & Sari, D. M. (2025). Validation and Reliability of the Depression Anxiety Stress Scale for Youth (DASS-Y) Indonesian Version. Psychology Research and Behavior Management, 2417-2427. https://doi.org/10.2147/PRBM.S578397

Kurniawan, R., & Hardianti, R. (2022). Validation of Online Fear of Missing Out (ON-FoMO) Scale in Indonesian version. Jurnal Neo Konseling, 4(3). https://doi.org/10.24036/00651kons2022

Laoera, B. D., & Wibowo, T. O. (2023). Indonesian online news and digital culture: A media ecology perspective. Jurnal Studi Komunikasi, 7(2), 355–368. https://doi.org/10.25139/jsk.v7i2.6190

Luo, M., & Hancock, J. T. (2020). Self-disclosure and social media: Motivations, mechanisms and psychological well-being. Current Opinion in Psychology, 31, 110–115. https://doi.org/10.1016/j.copsyc.2019.08.019

Machali, I. (2021). Metode penelitian kuantitatif: Panduan praktis merencanakan, melaksanakan, dan analisis dalam penelitian kuantitatif (3rd ed.). Fakultas Ilmu Tarbiyah dan Keguruan UIN Sunan Kalijaga Yogyakarta.

Magis-Weinberg, L., Munoz Lopez, D. E., Gys, C. L., Berger, E. L., & Dahl, R. E. (2023). Promoting digital citizenship through a school-based intervention in early adolescence in Peru: A pilot quasi-experimental study. Child and Adolescent Mental Health, 28(1), 83–89. https://doi.org/10.1111/camh.12625

Marciano, L., Ostroumova, M., Schulz, P. J., & Camerini, A. L. (2022). Digital media use and adolescents’ mental health during the COVID–19 pandemic: A systematic review and meta-analysis. Frontiers in Public Health, 9, 793868. https://doi.org/10.3389/fpubh.2021.793868

McLaughlin, B., Gotlieb, M. R., & Mills, D. J. (2023). Caught in a dangerous world: Problematic news consumption and its relationship to mental and physical ill-being. Health Communication, 38(12), 2687–2697. https://doi.org/10.1080/10410236.2022.2106086

Odgers, C. L., & Jensen, M. R. (2020). Annual Research Review: Adolescent mental health in the digital age: Facts, fears, and future directions. Journal of Child Psychology and Psychiatry, 61(3), 336–348. https://doi.org/10.1111/jcpp.13190

Pratiwi, A. S., & Rahmawati, S. (2025). Intensity of social media use in adolescent students and preventive efforts in guidance and counseling services at school. Psychosocia, 3(1). https://doi.org/10.61978/psychosocia.v3i1.503

Price, M., Legrand, A. C., Brier, Z. M. F., van Stolk-Cooke, K., Peck, K., Dodds, P. S., Danforth, C. M., & Adams, Z. W. (2022). Doomscrolling during COVID-19: The negative association between daily social and traditional media consumption and mental health symptoms during the COVID-19 pandemic. Psychological Trauma: Theory, Research, Practice, and Policy, 14(8), 1338–1346. https://doi.org/10.1037/tra0001202

Rodrigues, E. V. (2022). Doomscrolling: Threat to mental health and well-being: A review. International Journal of Nursing Research, 8(4), 127–130. https://doi.org/10.31690/ijnr.2022.v08i04.002

Rospita, I. O., Akhrani, L. A., & Al Yusainy, C. (2026). Can’t stop, won’t stop: The doomscrolling scale Indonesia version. International Journal of Adolescence and Youth, 31(1), 2653837. https://doi.org/10.1080/02673843.2026.2653837

Rozado, D., Hughes, R., & Halberstadt, J. (2022). Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with transformer language models. PLoS ONE, 17(10), e0276367. https://doi.org/10.1371/journal.pone.0276367

Satici, S. A., Gocet-Tekin, E., Deniz, M. E., & Satici, B. (2022). Doomscrolling scale: Its association with personality traits, psychological distress, social media use, and wellbeing. Applied Research in Quality of Life, 18(2), 833–847. https://doi.org/10.1007/s11482-022-10110-7

Shabahang, R., Aruguete, M. S., & Shim, H. (2021). Online news addiction: Future anxiety, fear of missing out on news, and interpersonal trust contribute to excessive online news consumption. Online Journal of Communication and Media Technologies, 11(2), e202105. https://doi.org/10.30935/ojcmt/10822

Shabahang, R., Aruguete, M. S., Kim, S., Hosseinkhanzadeh, A. A., & Kakabaraee, K. (2022). Give your thumb a break from surfing tragic posts: Potential corrosive consequences of social media users’ doomscrolling. Media Psychology, 26(4), 460–479. https://doi.org/10.1080/15213269.2022.2157287

Sharma, B., Lee, S. S., & Johnson, B. K. (2022). The dark at the end of the tunnel: Doomscrolling on social media newsfeeds. Technology, Mind, and Behavior, 3(1). https://doi.org/10.1037/tmb0000059

Steiner-Hofbauer, V., Schrank, B., & Mittmann, G. (2023). Screen time and quality of life in Austrian young adults. Journal of Public Health, 33, 2039–2043. https://doi.org/10.1007/s10389-023-02183-x

Syakira, N. R., Ifdil, I., & Khairati, A. (2025). Analisis doomscrolling pada mahasiswa berdasarkan jenis kelamin, usia, dan intensitas penggunaan media sosial. Jurnal Konseling dan Pendidikan, 13(2), 561–577. https://doi.org/10.29210/1164100

Thorson, K., Cotter, K., Medeiros, M., & Pak, C. (2021). Algorithmic inference, political interest, and exposure to news and politics on Facebook. Information, Communication & Society, 24(2), 183–200. https://doi.org/10.1080/1369118X.2019.1642934

UNICEF Indonesia. (2025). Online knowledge and practice of children in Indonesia: Baseline study 2023. UNICEF Indonesia. https://www.unicef.org/indonesia/child-protection/reports/online-knowledge-and-practice-children-indonesia-baseline-study-2023

Valkenburg, P. M., Meier, A., & Beyens, I. (2022). Social media use and its impact on adolescent mental health: An umbrella review of the evidence. Current Opinion in Psychology, 44, 58–68. https://doi.org/10.1016/j.copsyc.2021.08.017

Viguer, P., & Pico-Garces, M. J. (2025). Development and validation of an intervention protocol to promote media and information literacy for critical thinking in adolescents’ use of social media. Social Sciences & Humanities Open, 101807. https://doi.org/10.1016/j.ssaho.2025.101807

Wathelet, M., Duhem, S., Vaiva, G., Baubet, T., Habran, E., Veerapa, E., Debien, C., Molenda, S., Horn, M., Grandgenèvre, P., Notredame, C., & D’Hondt, F. (2020). Factors associated with mental health disorders among university students in France confined during the COVID–19 pandemic. JAMA Network Open, 3(10), e2025591. https://doi.org/10.1001/jamanetworkopen.2020.25591

World Health Organization. (2025). Mental health of adolescents. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health

Yeo, G., Reich, S. M., Liaw, N. A., & Chia, E. Y. M. (2024). The effect of digital mental health literacy interventions on mental health: systematic review and meta-analysis. Journal of medical Internet research, 26, e51268. https://doi.org/10.2196/51268

Ytre-Arne, B., & Moe, H. (2021). Doomscrolling, monitoring and avoiding: News use in COVID–19 pandemic lockdown. Journalism Studies, 22(13), 1739–1755. https://doi.org/10.1080/1461670X.2021.1952475

Žmavc, M., Horvat, J., Židan, M., & Selak, Š. (2025). The effectiveness of school-based interventions to reduce problematic digital technology use and screen time: A systematic review and meta-analysis. Journal of Behavioral Addictions, 14(2), 571-589. https://doi.org/10.1556/2006.2025.00043

Downloads

Published

2026-07-31

How to Cite

Faza Zahra Wulan Rajbina, & Yuliati Hotifah. (2026). PROFILE OF DOOMSCROLLING AMONG JUNIOR HIGH SCHOOL STUDENTS AND ITS IMPLICATIONS FOR GUIDANCE AND COUNSELING SERVICES. SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL, 15(3), 593–603. https://doi.org/10.36526/sosioedukasi.v15i3.8894