Examining selective exposure and disaster information literacy among Generation Z Instagram users
Abstract
Background: As a disaster-prone nation, Indonesia requires robust disaster information literacy. Generation Z, as active social media users, demonstrates distinct patterns of selective exposure to earthquake information on Instagram, influenced by psychological needs, message relevance, and social context.
Purpose: This study aims to analyze the psychological factors, message features, and social contexts that influence Generation Z’s selective exposure to local earthquake information on Instagram within the framework of disaster information literacy.
Methods: Utilizing a qualitative case study approach centered on the Sumedang earthquake (June 31, 2025–November 5, 2025), this research employed in-depth interviews with six informants, focus group discussions, and visual discourse analysis of 45 posts from local Instagram accounts (@radarsumedang, @inimahsumedang, @tahuekspress, and @sumedangekspresnews). Interviews lasted 45-60 minutes each and were analyzed using NVivo 12 software.
Results: Selective exposure is driven by trust, affective needs, and practical motivations. Message features—specifically Instagram Stories for rapid updates, feed posts for in-depth narratives, and infographics for clarity—play a critical role. Furthermore, the social context, including peer recommendations, comment-based verification, and the editorial strategies of local media, significantly shapes engagement. Generation Z demonstrates situational, heterogeneous, and dialogic interaction patterns with disaster information, balancing cognitive needs for accuracy with affective needs for emotional reassurance.
Conclusions: Disaster information literacy for Generation Z requires a hybrid strategy that integrates speed, accuracy, empathy, and interactivity to strengthen community preparedness and resilience. This study extends Selective Exposure Theory by identifying "emotional certainty" as a novel motivation, enriches Uses and Gratifications Theory through situational gratifications, and advances Situational Crisis Communication Theory by emphasizing collective social validation in social media-based disaster contexts.
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Alhabash, S., & Ma, M. (2017). A tale of four platforms: motivations and uses of Facebook, Twitter, Instagram, and Snapchat among college students? Social Media and Society, 3(1). https://doi.org/10.1177/2056305117691544
Altheide, D. L., & Schneider, C. J. (2016). Qualitative media analysis. Qualitative Media Analysis. https://doi.org/10.4135/9781452270043
Annapisa, M. (2019). Peran media cetak lokal dalam komunikasi bencana sebagai pendukung manajemen bencana. Buletin Pembangunan Berkelanjutan, 2(1), 102–115. https://doi.org/10.25299/BPB.2018.3856
Ayuningtyas, D., Windiarti, S., Sapoan Hadi, M., Fasrini, U. U., & Barinda, S. (2021). Disaster preparedness and mitigation in Indonesia: A narrative review. Iranian Journal of Public Health, 50(8), 1536–1546. https://doi.org/10.18502/IJPH.V50I8.6799
Baltezarević, R., & Baltezarević, I. (2022). Selective exposure in political communication. Megatrend Revija, 19(3), 303–315. https://doi.org/10.5937/MEGREV2203303B
Berger, R. (2015). Now I see it, now I don’t: researcher’s position and reflexivity in qualitative research. Qualitative Research, 15(2), 219–234. https://doi.org/10.1177/1468794112468475
Blumler, J. G. (1979). The role of theory in uses and gratifications studies. Communication Research, 6(1), 9–36. https://doi.org/10.1177/009365027900600102
Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
Coombs, W. T. (2022). Situational Crisis Communication Theory (SCCT): Refining and clarifying a cognitive-based Theory of Crisis Communication. The Handbook of Crisis Communication, 193–204. https://doi.org/10.1002/9781119678953.CH14
Coombs, W. T., & Holladay, S. J. (2015). CSR as crisis risk: Expanding how we conceptualize the relationship. Corporate Communications: An International Journal, 20(2), 144–162. https://doi.org/10.1108/CCIJ-10-2013-0078
Creswell, J. W. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE Publication.
Denzin, N. K., & Lincoln, Y. S. (2018). Introduction: The discipline and practice of qualitative research.
Dodgson, J. E. (2019). Reflexivity in qualitative research. Journal of Human Lactation, 35(2), 220–222. https://doi.org/10.1177/0890334419830990
Evita, N., Prestianta, A. M., & Asmarantika, R. A. (2023). Patterns of media and social media use in generation z in Indonesia. Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies), 7(1), 195–214. https://doi.org/10.25139/JSK.V7I1.5230
Frimer, J. A., Skitka, L. J., & Motyl, M. (2017). Liberals and conservatives are similarly motivated to avoid exposure to one another’s opinions. Journal of Experimental Social Psychology, 72, 1–12. https://doi.org/10.1016/j.jesp.2017.04.003
Guidry, J. P. D., Jin, Y., Orr, C. A., Messner, M., & Meganck, S. (2017). Ebola on Instagram and Twitter: How health organizations address the health crisis in their social media engagement. Public Relations Review, 43(3), 477–486. https://doi.org/10.1016/J.PUBREV.2017.04.009
Hatlevik, O. E., Guomundsdóttir, G. B., & Loi, M. (2015). Digital diversity among upper secondary students: A multilevel analysis of the relationship between cultural capital, self-efficacy, strategic use of information and digital competence. Computers and Education, 81, 345–353. https://doi.org/10.1016/J.COMPEDU.2014.10.019
Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., Turner Mcgowen, S. E., Davis, R., Vaid, S., Mcelderry, J. A., & Griffith, S. A. (2015). Social media and disasters: A functional framework for social media use in disaster planning, response, and research. Disasters, 39(1), 1–22. https://doi.org/10.1111/DISA.12092
Howell, J. L., & Shepperd, J. A. (2016). Establishing an information avoidance scale. Psychological Assessment, 28(12), 1695–1708. https://doi.org/10.1037/pas0000315
Hutabarat, A. P., Loisa, R., & Salman, D. (2023). Disaster communication through social media related to disaster information (case study Instagram account @bpbddkijakarta). International Journal of Application on Social Science and Humanities, 1(1), 978–987. https://doi.org/10.24912/IJASSH.V1I1.25712
Joseph, J. K., Dev, K. A., Pradeepkumar, A. P., & Mohan, M. (2018). Big data analytics and social media in disaster management. In Integrating Disaster Science and Management (pp. 287–294). Elsevier. https://doi.org/10.1016/B978-0-12-812056-9.00016-6
Kallio, H., Pietilä, A., Johnson, M., & Kangasniemi, M. (2016). Systematic methodological review: Developing a framework for a qualitative semi structured interview guide. Journal of Advanced Nursing, 72(12), 2954–2965. https://doi.org/10.1111/jan.13031
Khumairoh, Z., Widana, I. D. K. K., & Sumantri, S. H. (2021). The role of communication as the disaster risk reduction in Indonesia capital city transference policy. IOP Conference Series: Earth and Environmental Science, 708(1). https://doi.org/10.1088/1755-1315/708/1/012101
Korstjens, I., & Moser, A. (2018). Series: Practical guidance to qualitative research. Part 4: Trustworthiness and publishing. European Journal of General Practice, 24(1), 120–124. https://doi.org/10.1080/13814788.2017.1375092
Krippendorff, K. (2022). Content analysis: An Introduction to Its Methodology. Content Analysis: An Introduction to Its Methodology. https://doi.org/10.4135/9781071878781
Krueger, R. A. (2015). Focus groups: A practical guide for applied research (5th ed.). Sage publications.
Liu, H., Liu, W., Yoganathan, V., & Osburg, V. S. (2021). COVID-19 information overload and generation Z’s social media discontinuance intention during the pandemic lockdown. Technological Forecasting and Social Change, 166. https://doi.org/10.1016/J.TECHFORE.2021.120600
Malmqvist, J., Hellberg, K., Möllås, G., Rose, R., & Shevlin, M. (2019). Conducting the pilot study: A neglected part of the research process? Methodological findings supporting the importance of piloting in qualitative research studies. International Journal of Qualitative Methods, 18. https://doi.org/10.1177/1609406919878341
Matthes, J., Knoll, J., Valenzuela, S., Hopmann, D. N., & Von Sikorski, C. (2019). A meta-analysis of the effects of cross-cutting Exposure on political participation. Political Communication, 36(4), 523–542. https://doi.org/10.1080/10584609.2019.1619638
Metzger, M. J., Hartsell, E. H., & Flanagin, A. J. (2020). Cognitive dissonance or credibility? A comparison of two theoretical explanations for selective exposure to Partisan News. Communication Research, 47(1), 3–28. https://doi.org/10.1177/0093650215613136
Miles, M. B., Huberman, A. M., & Saldana, J. (2018). Qualitative data analysis: A methods sourcebook (4th ed.). Sage Publication Inc.
Neuendorf, K. A. (2020). The Content Analysis Guidebook. https://doi.org/10.4135/9781071802878
Nguyen, T. H., & Chung, W. Y. (2019). Negative news recognition during social media news consumption using EEG. IEEE Access, 7, 133227–133236. https://doi.org/10.1109/ACCESS.2019.2941251
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1). https://doi.org/10.1177/1609406917733847
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544. https://doi.org/10.1007/S10488-013-0528-Y
Palumian, Y., Tanur, L. O., Widjaya, E. V., & Sahetapy, W. L. (2023). Mobile learning among Indonesia Gen Z: The role of digital literacy, information literacy and expectancy. ACM International Conference Proceeding Series, 241–247. https://doi.org/10.1145/3617733.3617772
Patton, M. Q. (2015). Qualitative research & evaluation methods. Sage.
Reddy, P., Sharma, B., & Chaudhary, K. (2020). Digital literacy. International Journal of Technoethics, 11(2), 65–94. https://doi.org/10.4018/IJT.20200701.oa1
Reinikainen, H., Kari, J. T., & Luoma-Aho, V. (2020). Generation Z and organizational listening on social media. Media and Communication, 8(2), 185–196. https://doi.org/10.17645/MAC.V8I2.2772
Ren, R., & Yan, B. (2022). Personal network protects, social media harms: Evidence from two surveys during the COVID-19 pandemic. Frontiers in Psychology, 13. https://doi.org/10.3389/FPSYG.2022.964994
Reuter, C., Hughes, A. L., & Kaufhold, M. A. (2018). Social media in crisis management: An evaluation and analysis of crisis informatics research. International Journal of Human-Computer Interaction, 34(4), 280–294. https://doi.org/10.1080/10447318.2018.1427832
Rose, G. (2023). Visual methodologies: An introduction to researching with visual materials. Sage publications.
Rosyida, A., Aziz, M., Firmansyah, Y., Setiawan, T., Pangesti, K. P., & Kakanur, F. (2023). Buku data bencana Indonesia 2023. BNPB.
Salonen, M., & Laaksonen, S. M. (2023). Post-publication gatekeeping practices: Exploring conversational and visual gatekeeping on Finnish newspapers’ Instagram accounts. Nordicom Review, 44(2), 253–278. https://doi.org/10.2478/NOR-2023-0014
Seemiller, C., & Grace, M. (2017). Generation Z: Educating and engaging the next generation of students. About Campus: Enriching the Student Learning Experience, 22(3), 21–26. https://doi.org/10.1002/ABC.21293
Seneviratne, K., Nadeeshani, M., Senaratne, S., & Perera, S. (2024). Use of social media in disaster management: Challenges and strategies. Sustainability (Switzerland) , 16(11). https://doi.org/10.3390/SU16114824
Shahbazi, M., & Bunker, D. (2024). Social media trust: Fighting misinformation in the time of crisis. International Journal of Information Management, 77. https://doi.org/10.1016/J.IJINFOMGT.2024.102780
Simamora, N. S., Ayuningtyas, F., & Muqsith, M. (2023). The use of social media as a source of news in natural disaster areas. International Journal of Social Science and Human Research, 6(12). https://doi.org/10.47191/IJSSHR/V6-I12-23
Stainback, K., Hearne, B. N., & Trieu, M. M. (2020). COVID-19 and the 24/7 News Cycle: Does COVID-19 news exposure affect mental health? Socius, 6. https://doi.org/10.1177/2378023120969339
Sundar, S. S., & Limperos, A. M. (2013). Uses and Grats 2.0: New gratifications for new media. Journal of Broadcasting and Electronic Media, 57(4), 504–525. https://doi.org/10.1080/08838151.2013.845827
Syafarudin, I. (2025). Investigasi karakteristik bawah permukaan di sekitar sumber gempa Sumedang 31 Desember 2023 Menggunakan Parameter Vs 30 dan Kurva HVSR Guna Pemetaan Daerah Rawan Potensi Gempa. Jurnal Geofisika, 22(2), 22. https://doi.org/10.36435/JGF.V22I2.637
Takahashi, B., Tandoc, E. C., & Carmichael, C. (2015). Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines. Computers in Human Behavior, 50, 392–398. https://doi.org/10.1016/j.chb.2015.04.020
Vázquez-Herrero, J., Direito-Rebollal, S., & López-García, X. (2019). Ephemeral journalism: News distribution through Instagram stories. Social Media and Society, 5(4). https://doi.org/10.1177/2056305119888657
Vollmer, M., Overmeyer, M., & Kaluza, B. F. (2025). Enhancing two-way communication in disaster management in the EU—practical insights. Frontiers in Communication, 10. https://doi.org/10.3389/FCOMM.2025.1557423
Wang, L. (2021). Understanding college students’ news sharing experience on Instagram. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, 187–190. https://doi.org/10.1145/3462204.3481779
Winter, S., & Krämer, N. C. (2016). Who’s right: The author or the audience? Effects of user comments and ratings on the perception of online science articles. Communications, 41(3). https://doi.org/10.1515/commun-2016-0008
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed). SAGE Publications, inc.
Zhang, H., Wang, G., Lu, M., Wang, D., & Xu, P. (2019). Emergency warning and bidirectional communication via digital audio broadcast. IEEE Transactions on Consumer Electronics, 65(2), 150–159. https://doi.org/10.1109/TCE.2019.2893774
Zhu, Q., Weeks, B. E., & Kwak, N. (2024). Implications of online incidental and selective exposure for political emotions: Affective polarization during elections. New Media and Society, 26(1), 450–472. https://doi.org/10.1177/14614448211061336
Zimmermann, D., Klee, A., & Kaspar, K. (2023). Political news on Instagram: influencer versus traditional magazine and the role of their expertise in consumers’ credibility perceptions and news engagement. Frontiers in Psychology, 14. https://doi.org/10.3389/FPSYG.2023.1257994
柳静. (2025). An analysis of news avoidance behaviour in the daily life of “Generation Z.” Journalism and Communications, 13(01), 91–96. https://doi.org/10.12677/JC.2025.131014
DOI: https://doi.org/10.24198/inf.v6i1.69343
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