Filter Bubble Phenomenon on Instagram and Its Impact on Teenagers Lifestyle and Social Interaction
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Algorithm, Interaction, Filter Bubble, Content, Teenagers
Abstract
This research aims to analyze the phenomenon filter bubble on Instagram and its impact on lifestyle changes and social interactions of teenagers aged 16-20 years in Palembang. Instagram, as a visual-based social media platform, uses Artificial Intelligence (AI) algorithms to customize and filter content according to user preferences, which can influence user thought patterns, attitudes and behavior. In this research, a qualitative approach was used with literature study methods and content analysis. Data was collected through in-depth interviews with teenagers in Palembang who actively use Instagram. The research results show that filter bubble influencing teenagers in adopting lifestyle trends, especially in terms of appearance and beauty, such as the use of makeup which often appears in Instagram feeds. In addition, this phenomenon also contributes to the formation of homogeneous social groups, where teenagers are more likely to interact with individuals who have similar interests, while different views tend to be ignored. Based on Information Integration Theory, this research explains that information received via social media, which is filtered by the Instagram algorithm, shapes teenagers attitudes and behavior. The conclusion of this research is that the phenomenon filter bubble has a significant impact on the development of teenagers lifestyles and social interactions, which has the potential to narrow their horizons to various perspectives. Therefore, better digital literacy is needed to help teenagers be more critical in consuming information on social media.
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References
[1] E. R. Purboningsih, K. Massar, Z. R. Hinduan, H. Agustiani, R. A. C. Ruiter, and P. Verduyn, “Perception and use of social media by indonesian adolescents and parents: A qualitative study,” Front Psychol, vol. 13, p. 985112, 2023, pMC9849963.
[2] A. George, M. Fernando, A. S. George, T. Baskar, and D. Pandey, “Metaverse: The next stage of human culture and the internet,” International Journal of Advanced Research Trends in Engineering and Technology (IJARTET), vol. 8, no. 12, pp. 1–10, 2021.
[3] A. Juhaidi, M. N. Fuady, W. Ramadan, H. Ma’ruf et al., “Instagram activities, engagement and enrollment intention in indonesia: A case in the third largest island in the world,” Nurture, vol. 18, no. 2, pp. 435–455, 2024.
[4] B. Sarıkaya, “Artificial intelligence in social media marketing and the effects on youth-the case of instagram,” Turkish Online Journal of Design Art and Communication, vol. 15, no. 1, pp. 293–308, 2025.
[5] F. Khan. (2023, sep) The role of AI in social media content curation. [Online]. Available: https://read.crowdfireapp.com/2023/09/18/the-role-of-ai-in-social-media-content-curation/
[6] Wikipedia contributors, “Filter bubble — Wikipedia, the free encyclopedia,” 2025, accessed: 2025-09-19. [Online]. Available: https://en.wikipedia.org/wiki/Filter_bubble
[7] R. Aditia and T. Y. Imran, “Uncovering the influence of filter bubbles: How they shape public opinion and construct reality on social media,” Journal of Social, Policy and Development Studies, vol. 1, no. 1, pp. 50–60, 2024.
[8] J. R. Sánchez-Reina, E. Theophilou, D. Hernández-Leo, and P. Medina-Bravo, “The power of beauty or the tyranny of algorithms. how do teens understand body image on instagram?” 2021, chapter 20.
[9] UCL News, “Social media algorithms amplify misogynistic content to teens,” UCL News, feb 2024. [Online]. Available: https://www.ucl.ac.uk/news/2024/feb/social-media-algorithms-amplify-misogynistic-content-teens
[10] T. Mariyanti, I. Wijaya, C. Lukita, S. Setiawan, and E. Fletcher, “Ethical framework for artificial intelligence and urban sustainability,” Blockchain Frontier Technology, vol. 4, no. 2, pp. 98–108, 2025.
[11] J. Shanteau and G. F. Nagy, “Information integration in person perception: Theory and application,” in Issues in person perception. Routledge, 2021, pp. 48–86.
[12] (2024) Information integration theory. Wikipedia, The Free Encyclopedia. [Online]. Available: https://en.wikipedia.org/wiki/Information_integration_theory
[13] J. Siswanto, V. A. Goeltom, I. N. Hikam, E. A. Lisangan, and A. Fitriani, “Market trend analysis and data-based decision making in increasing business competitiveness,” Sundara Advanced Research on Artificial Intelligence, vol. 1, no. 1, pp. 1–8, 2025.
[14] K. Elliott, R. Price, P. Shaw, T. Spiliotopoulos, M. Ng, K. Coopamootoo, and A. Van Moorsel, “Towards an equitable digital society: artificial intelligence (ai) and corporate digital responsibility (cdr),” Society, vol. 58, no. 3, pp. 179–188, 2021.
[15] F. Aprin, P. Peters, and H. U. Hoppe, “The effectiveness of a virtual learning companion for supporting the critical judgment of social media content,” Education and Information Technologies, vol. 29, no. 10, pp. 12 797–12 830, 2024.
[16] H. Stewart, E. Cichocki, and C. McLeod, “A perfect storm for epistemic injustice: Algorithmic targeting and sorting on social media,” Feminist Philosophy Quarterly, vol. 8, no. 3/4, 2022.
[17] M. A. Camilleri, “Artificial intelligence governance: Ethical considerations and implications for social responsibility,” Expert systems, vol. 41, no. 7, p. e13406, 2024.
[18] F. Alfiah, S. Warohmah, M. F. Z. Z. Wahin, M. N. Annisa, and A. Kurniawan, “Social impact of social media use intensity on mental health in the form of apatic attitude,” International Journal of Cyber and IT Service Management, vol. 1, no. 2, pp. 226–232, 2021.
[19] L. Kollyri, “De-coding instagram as a spectacle: A critical algorithm audit analysis.” Media Studies/Mediální Studia, no. 2, 2021.
[20] Q. Grossetti, C. Du Mouza, N. Travers, and C. Constantin, “Reducing the filter bubble effect on twitter by considering communities for recommendations,” International Journal of Web Information Systems, vol. 17, no. 6, pp. 728–752, 2021.
[21] J. Lorenz, M. Neumann, and T. Schröder, “Individual attitude change and societal dynamics: Computational experiments with psychological theories.” Psychological Review, vol. 128, no. 4, p. 623, 2021.
[22] K. Xu, X. Chen, and L. Huang, “Deep mind in social responses to technologies: A new approach to explaining the computers are social actors phenomena,” Computers in Human Behavior, vol. 134, p. 107321, 2022.
[23] D. Misnawati, B. Perdana, S. Ariana, N. Damayanti, M. Rakhmansyah, and A. Yolandita, “Ai-driven content filtering on instagram and its impact on youth lifestyle and interaction,” in 2025 4th International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2025, pp. 1–6.
[24] P. Bachmann, M. Eisenegger, and D. Ingenhoff, “Defining and measuring news media quality: Comparing the content perspective and the audience perspective,” The International Journal of Press/Politics, vol. 27, no. 1, pp. 9–37, 2022.
[25] A. R. S. Panjaitan, J. Rowena, and T. Handra, “Application of the tam model on instagram ads,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 6, no. 2, pp. 129–138, 2025.
[26] O. Shcherbakova and S. Nikiforchuk, “Social media and filter bubbles,” Scientific Journal of Polonia University, vol. 54, no. 5, pp. 81–88, 2022.
[27] R. Eg, Ö. D. Tønnesen, and M. K. Tennfjord, “A scoping review of personalized user experiences on social media: The interplay between algorithms and human factors,” Computers in Human Behavior Reports, vol. 9, p. 100253, 2023.
[28] A. Williams and C. S. Bangun, “Artificial intelligence system framework in improving the competence of indonesian human resources,” International Journal of Cyber and IT Service Management, vol. 2, no. 1, pp. 82–87, 2022.
[29] S. Sabar, N. Dzulkalnine, and M. M. Khir, “The impact of social media on mental health of young adults: a literature review,” Information Management and Business Review, vol. 16, no. 3, pp. 447–460, 2024.
[30] N. Lutfiani, S. Wijono, U. Rahardja, A. Iriani, and E. A. Nabila, “Artificial intelligence based on recommendation system for startup matchmaking platform,” in 2022 IEEE Creative Communication and Innovative Technology (ICCIT). IEEE, 2022, pp. 1–5.
[31] A. Kristian, T. S. Goh, A. Ramadan, A. Erica, and S. V. Sihotang, “Application of ai in optimizing energy and resource management: Effectiveness of deep learning models,” International Transactions on Artificial Intelligence, vol. 2, no. 2, pp. 99–105, 2024.
[32] V. Pérez-Torres, “Social media: a digital social mirror for identity development during adolescence,” Current Psychology, vol. 43, no. 26, pp. 22 170–22 180, 2024.
[33] J. van der Merwe, S. M. Wahid, G. P. Cesna, D. A. Prabowo et al., “Improving natural resource management through ai: Quantitative analysis using smartpls,” International Transactions on Artificial Intelligence, vol. 2, no. 2, pp. 135–142, 2024.
[34] D. Juliastuti, R. Royani, I. Farida, I. N. Hikam, and A. Garcia, “Empowerment through information: How ai-driven education impacts decision-making autonomy in fertility treatment,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 6, no. 2, pp. 196–204, 2025.
[35] V. El Ardeliya, J. Taylor, and J. Wolfson, “Exploration of artificial intelligence in creative fields: Generative art, music, and design,” International Journal of Cyber and IT Service Management, vol. 4, no. 1, pp. 40–46, 2024.
[36] C. Mennella, U. Maniscalco, G. De Pietro, and M. Esposito, “Ethical and regulatory challenges of ai technologies in healthcare: A narrative review,” Heliyon, vol. 10, no. 4, 2024.
[37] R. Kurniaji, N. Azizah, and M. Yusup, “The influence branding of social media to improve digital business in training and consulting on instagram,” Startupreneur Business Digital (SABDA Journal), vol. 3, no. 2, pp. 171–180, 2024.
[38] C. Novak, M. Haselbacher, A. Mattes, and K. Limacher, “Religious “bubbles” in a superdiverse digital landscape? research with religious youth on instagram,” Religions, vol. 13, no. 3, p. 213, 2022.
[39] R. Budiman, N. A. Romadini, M. A. H. Aziz, and A. G. Pratama, “The impact of online gambling among indonesian teens and technology,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 3, no. 2, pp. 162–167, 2022.
[40] G. Balamurugan and M. Vijayarani, “Filtering reality: Navigating instagram’s influence on adolescent mental health,” Journal of Education and Health Promotion, vol. 14, no. 1, p. 84, 2025.
[41] S. Kosasi, C. Lukita, M. H. R. Chakim, A. Faturahman, and D. A. R. Kusumawardhani, “The influence of digital artificial intelligence technology on quality of life with a global perspective,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 3, pp. 240–250, 2023.
[42] S. Sudaryono, R. Pratomo, A. Ramadan, R. Ahsanitaqwim, and E. Fletcher, “Artificial intelligence in predictive cybersecurity: Developing adaptive algorithms to combat emerging threats,” Journal of Computer Science and Technology Application, vol. 2, no. 1, pp. 1–13, 2025.
[43] E. Denniss and R. Lindberg, “Social media and the spread of misinformation: infectious and a threat to public health,” Health promotion international, vol. 40, no. 2, p. daaf023, 2025.
[44] N. M. N. Febrianti and G. S. Darma, “Millennials’ intention to invest through securities crowdfunding platform,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 1, pp. 19–30, 2023.
[45] B. C. Stahl, J. Antoniou, N. Bhalla, L. Brooks, P. Jansen, B. Lindqvist, A. Kirichenko, S. Marchal, R. Rodrigues, N. Santiago et al., “A systematic review of artificial intelligence impact assessments,” Artificial Intelligence Review, vol. 56, no. 11, pp. 12 799–12 831, 2023.
[46] E. Sana, A. Fitriani, D. Soetarno, M. Yusuf et al., “Analysis of user perceptions on interactive learning platforms based on artificial intelligence,” Journal of Computer Science and Technology Application, vol. 1, no. 1, pp. 26–32, 2024.
[47] A. Turillazzi, M. Taddeo, L. Floridi, and F. Casolari, “The digital services act: an analysis of its ethical, legal, and social implications,” Law, Innovation and Technology, vol. 15, no. 1, pp. 83–106, 2023.
[48] R. Qiao, C. Liu, and J. Xu, “Making algorithmic app use a virtuous cycle: Influence of user gratification and fatigue on algorithmic app dependence,” Humanities and Social Sciences Communications, vol. 11, no. 1, pp. 1–10, 2024.
[49] G. Figà Talamanca and S. Arfini, “Through the newsfeed glass: Rethinking filter bubbles and echo chambers,” Philosophy & Technology, vol. 35, no. 1, p. 20, 2022.
[50] T. Pujiati, H. Setiyowati, B. Rawat, N. P. L. Santoso, and M. G. Ilham, “Exploring the role of artificial intelligence in enhancing environmental health: Utaut2 analysis,” Sundara Advanced Research on Artificial Intelligence, vol. 1, no. 1, pp. 37–46, 2025.
[51] E. E. Djajasasana and J. R. K. Bokau, “Utilization of micro influencers and engagement in social media to gain cadet candidates,” ADI Journal on Recent Innovation, vol. 6, no. 1, pp. 1–7, 2024.
[52] V. Meilinda, S. A. Anjani, and M. Ridwan, “A platform based business revolution activates indonesia’s digital economy,” Startupreneur Business Digital (SABDA Journal), vol. 2, no. 2, pp. 155–174, 2023.
[53] I. Muda, R. Sivaraman, S. I. S. Al-Hawary, U. Rahardja, R. S. Bader, D. Kadarsyah, K. S. Mohsen, A. H. Jabbar, and P. Chaudhary, “Hub location-allocation in computer-based networks under disruption using whale optimization algorithm,” Industrial Engineering & Management Systems, vol. 21, no. 3, pp. 503–515, 2022.
[54] M. Wolfowicz, D. Weisburd, and B. Hasisi, “Examining the interactive effects of the filter bubble and the echo chamber on radicalization,” Journal of Experimental Criminology, vol. 19, no. 1, pp. 119–141, 2023.
[55] W. E. Saputri, R. Hurriyati, and T. Gunawan, “The influence of functional and green values on gen z green product purchases and entrepreneurial opportunities,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 3, pp. 562–573, 2024.
[56] J. C. T. Simorangkir, “Using instagram social media as a media of interaction in shaping the teenage’s lifestyle,” Fox Justi: Jurnal Ilmu Hukum, vol. 11, no. 02, January 2021. [Online]. Available: https://download.garuda.kemdikbud.go.id/article.php?article=2340971&val=22542
[57] R. A. Perdana, C. E. Widodo, and R. Santoso, “Sentiment analysis of naïve bayes, decision tree, and k-nearest neighbor (k-nn) algorithms for cyberbullying comments on instagram accounts,” in 2024 11th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE). IEEE, 2024, pp. 253–258.
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