Exploring Audience Perspectives on Self-Development and Career Growth Through YouTube Comments: Evidence from the SUARA BERKELAS Podcast
Keywords:
self-development, career development, YouTube comments, topic modeling, digital mediaAbstract
The growth of digital media has transformed the way individuals access information, share experiences, and engage in discussions related to self-development and career growth. Among various digital platforms, YouTube podcasts have emerged as popular sources of informal learning and personal reflection. This study explored audience perspectives on self-development and career growth through comments posted on the SUARA BERKELAS podcast on YouTube. The data consisted of 704 audience comments collected using a web scraping technique. Text preprocessing was conducted through case folding, cleaning, tokenization, and stopword removal. Subsequently, bigram analysis and Latent Dirichlet Allocation (LDA) topic modeling were applied to identify dominant discussion themes. The findings reveal five major themes: social reflection and national issues, life aspirations and future goals, youth self-development, motivation and life struggles, and concerns about the future. These themes indicate that audiences perceive the podcast not only as a source of entertainment but also as a medium for learning, self-reflection, and career development. The coherence score of 0.44 suggests that the topic model demonstrates acceptable consistency in representing audience discussions. This study highlights the role of digital podcasts in shaping audience perspectives on personal growth and career-related issues in contemporary society.
References
Altalhi, O. A. (2021). A Systematic Literature Review of the Impact of Human Resources Management Strategies on Employee’s Performance: Role of Job Embeddedness and Organizational Commitment as Mediator Variables. European Journal of Business and Management, 13(20), 56–61. https://www.iiste.org
Anonim. (2026). Audience Perspectives on Self-Development and Career Growth: A Text Mining, Bigram, and Latent Dirichlet Allocation (LDA) Topic Modeling on the SUARA BERKELAS Podcast on YouTube. Draft Penelitian / Jurnal Mandiri, 1–10.
Bandura, A. (2001). Social Cognitive Theory: An Agentic Perspective. Annual Review of Psychology, 52(1), 1–26. https://doi.org/10.1146/annurev.psych.52.1.1
Chunqiong, W., Shan, J., Jianhong, S., & Yingqi, L. (2025a). Impact of YouTube User-Generated Content on News Dissemination and Youth Information Reception. Health Expectations. https://doi.org/10.1111/hex.14036
Chunqiong, W., Shan, J., Jianhong, S., & Yingqi, L. (2025b). Impact of YouTube User-Generated Content on News Dissemination and Youth Information Reception. Health Expectations. https://doi.org/10.1111/hex.14036
Elprida, E., Yulianty, D., Roswinna, W., & Anggraen, A. F. (2026). STRATEGI PENGEMBANGAN KOMPETENSI DIGITAL SUMBER DAYA MANUSIA DI ERA DIGITAL. Journal of Innovative and Creativity, 6(1), 19083–19090. https://joecy.org/index.php/joecy
Greenhow, C., & Lewin, C. (2016a). Social media and education: reconceptualizing the boundaries of formal and informal learning. Learning, Media and Technology, 41(1), 6–30. https://doi.org/10.1080/17439884.2015.1064954
Greenhow, C., & Lewin, C. (2016b). Social Media and Education: Reconceptualizing the Boundaries of Formal and Informal Learning. Learning, Media and Technology, 41(1), 6–30. https://doi.org/10.1080/17439884.2015.1064954
Jarman, B. (2018). Learning to Be: Humanism, Education, and the Philosophy of Erich Fromm. PhilPapers, 12(3), 145–162. https://doi.org/10.5840/philpapers.JARLTB
Maier, D., Waldherr, A., Miltner, P., Wiedemann, G., Niekler, A., Keinert, A., Pfetsch, B., Heyer, G., Reber, U., Häussler, T., Schmid-Petri, H., & Adam, S. (2018a). Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology. Communication Methods and Measures, 12(2–3), 93–118. https://doi.org/10.1080/19312458.2018.1430754
Maier, D., Waldherr, A., Miltner, P., Wiedemann, G., Niekler, A., Keinert, A., Pfetsch, B., Heyer, T., Reber, U., Häussler, T., Schmid-Petri, J., & Adam, S. (2018b). Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology. Communication Methods and Measures, 12(2–3), 93–118. https://doi.org/10.1080/19312458.2018.1430754
Manning, C. D., Raghavan, P., & Schütze, H. (2008). An Introduction to Information Retrieval. Cambridge University Press. http://www.informationretrieval.org/
Mimno, D., Wallach, H. M., Talley, E., Leenders, M., & McCallum, A. (2011). Optimizing Semantic Coherence in Topic Models. Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 262–272. https://aclanthology.org/D11-1024
Morgeson, F. P., & Humphrey, S. E. (2014). Work Design: A Review and Theoretical Framework for Next-Generation Research. Annual Review of Organizational Psychology and Organizational Behavior, 1(1), 55–79. https://doi.org/10.1146/annurev-orgpsych-031413-091321
Podcasting in the 21st Century. (n.d.). In User-Generated Content in Education. Wikibooks. Retrieved https://en.wikibooks.org/wiki/User-Generated_Content_in_Education/Podcasting_in_the_21st_Century
Rosner, F., Hinneburg, A., Röder, M., Nettling, M., & Both, A. (2014). Evaluating topic coherence measures. ArXiv Preprint ArXiv:1403.6397. https://arxiv.org/abs/1403.6397
Saputra, M. A., Rasdi, Muh. A., Resa, & Nur, S. W. (2025). Pengaruh Penggunaan Teknologi Artificial Intelligence (Ai) Terhadap Pola Belajar Mahasiswa Di Era Digital: Antara Efisiensi Atau Ketergantungan. Laa Maghrib: Journal of Development in Islamic Economics and Business.
Service, S. R. (2024). Academic Reference Entry ID 4040136. Scientific Research Publishing Reference Database, 2024(1), 101–115. https://www.scirp.org/reference/referencespapers?referenceid=4040136
Tess, P. A. (2015a). The role of social media in higher education classes (real-world applications) – A literature review. Learning, Media and Technology, 40(1), 60–80. https://doi.org/10.1080/17439884.2015.1064954
Tess, P. A. (2015b). The role of social media in higher education classes (real-world applications) – A literature review. Learning, Media and Technology, 40(1), 60–80. https://doi.org/10.1080/17439884.2015.1064954





