Entertainment Satisfaction and Critical Attitudes of West Java Students on 2024 Presidential Election News
DOI:
https://doi.org/10.35335/jiph.v14i2.133Keywords:
Fake News Sharing, Entertainment-seeking, Misinformation, Presidential Election, TwitterAbstract
In today's digital age, social interaction is heavily influenced by social media as the primary source of information. Social media provides an easy and economical user experience, but it also increases the potential of spreading misinformation. Twitter, which has 60.2% of Indonesian users, serve as the focal point for analyzing misinformation during Indonesia's 2024 presidential election. This research focuses on examining Twitter as a platform for the relationship between several entertainment-driven objectives and sharing false election-related news among users during Indonesia’s 2024 presidential election. Data from 229 university students in West Java were collected and analyzed using a quantitative approach and survey method. The study revealed a significant positive correlation (r =.477, p <.001) between entertainment enjoyment and spreading false election-related news. Respondents were found to share content they perceived as entertaining, even when it turned out to be incorrect, for reasons such as comedy (M = 2.83, SD = 1.362) and enjoyment (M = 2.98, SD = 1.291). The study confirmed the hypothesis that entertainment satisfaction drives the spread of misinformation (t = 8.186, p <.001). These findings highlight the influence of entertainment-driven motivations in spreading misinformation and emphasize the importance of reducing such behavior. This study proposes insights for policymakers and social media platforms into addressing the complex nature of information-sharing behavior in the digital world. Further psychological and contextual factors impacting the spread of fake news dissemination across various demographic groups should be explored in future studies
References
Amedie, J. (2015). Scholar Commons The Impact of Social Media on Society Pop Culture Intersections The Impact of Social Media on Society. http://scholarcommons.scu.edu/engl_176http://scholarcommons.scu.edu/engl_176/2
Andrews, C., Fichet, E., Ding, Y., Spiro, E. S., & Starbird, K. (2016). Keeping up with the tweet-dashians: The impact of “official” accounts on online rumoring. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, 27, 452–465. https://doi.org/10.1145/2818048.2819986
Anspach, N. M., & Carlson, T. N. (2020). What to Believe? Social Media Commentary and Belief in Misinformation. Political Behavior, 42(3), 697–718. https://doi.org/10.1007/s11109-018-9515-z
Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 56(March), 101475. https://doi.org/10.1016/j.tele.2020.101475
Baek, K., Holton, A., Harp, D., & Yaschur, C. (2011). The links that bind: Uncovering novel motivations for linking on Facebook. Computers in Human Behavior, 27(6), 2243–2248. https://doi.org/10.1016/j.chb.2011.07.003
Basuki. (2021). PENGANTAR METODE PENELITIAN KUANTITATIF. CV. MEDIA SAINS INDONESIA.
Biro Humas Kementerian Kominfo. (2023). Triwulan Pertama 2023, Kominfo Identifikasi 425 Isu Hoaks. Kementerian Komunikasi dan Informatika.
Chadwick, A., & Vaccari, C. (2019). News sharing on UK social media. News Sharing on UK Social Media: Misinformation, Disinformation, and Correction. https://repository.lboro.ac.uk/articles/News_sharing_on_UK_social_media_misinformation_disinformation_and_correction/9471269
DeCastellarnau, A. (2018). A classification of response scale characteristics that affect data quality: a literature review. Quality and Quantity, 52(4), 1523–1559. https://doi.org/10.1007/s11135-017-0533-4
Duile, T., & Tamma, S. (2021). Political language and fake news: Some considerations from the 2019 election in Indonesia. Indonesia and the Malay World, 49(143), 82–105. https://doi.org/10.1080/13639811.2021.1862496
Etikan, I. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1. https://doi.org/10.11648/j.ajtas.20160501.11
Fisher, R. J. (1993). Indirect questioning. Journal of Consumer Research, 20(September), 303–315.
Gani, A. G. (2020). Pengaruh Media Sosial Terhadap Perkembangan Anak Remaja. Jurnal Mitra Manajemen, 7(2), 32–42.
Ghozali, I. (2016). Aplikasi Analisis Multivariete Dengan Program IBM SPSS 23. Badan Penerbit Universitas Diponegoro.
Ha, L., Yoon, K., & Zhang, X. (2013). Consumption and dependency of social network sites as a news medium : A comparison between college students and general population. Journal of Communication and Media Research, 5(1), 1–14. http://scholarworks.bgsu.edu/cgi/viewcontent.cgi?article=1009&context=smc_pub%5Cnhttps://works.bepress.com/louisa_ha/9/
Humphreys, L., Gill, P., Krishnamurthy, B., & Newbury, E. (2013). Historicizing new media: A content analysis of twitter. Journal of Communication, 63(3), 413–431. https://doi.org/10.1111/jcom.12030
Kemp, S. (2023). Digital 2023: Indonesia — DataReportal – Global Digital Insights. DataReportal. https://datareportal.com/reports/digital-2023-indonesia
Kenny, P. D. (2018). Populism in Southeast Asia. Cambridge University Press.
Khan, M. L., & Idris, I. K. (2019). Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective. Behaviour and Information Technology, 38(12), 1194–1212. https://doi.org/10.1080/0144929X.2019.1578828
Kim, J., Lee, C., & Elias, T. (2015). Factors affecting information sharing in social networking sites amongst university students: Application of the knowledge-sharing model to social networking sites. Online Information Review, 39(3), 290–309. https://doi.org/10.1108/OIR-01-2015-0022
Lee, C. S., & Ma, L. (2012). News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior, 28(2), 331–339. https://doi.org/10.1016/j.chb.2011.10.002
Mellor, D., & Moore, K. A. (2014). The use of likert scales with children. Journal of Pediatric Psychology, 39(3), 369–379. https://doi.org/10.1093/jpepsy/jst079
Mumtaz, M., Kiyatno, & Handayani, S. (2016). Hubungan Kapasitas Vital Paru dan Kadar Hemoglobin dengan VO2 Maksimum pada Orang Yang Melakukan Yoga. NEXUS KEDOKTERAN KOMUNITAS, 5(1), 14-22. http://jurnal.fk.uns.ac.id/index.php/Nexus-Kedokteran-Komunitas/article/view/657
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory. McGraw-Hill.
Nurudin. (2007). Pengantar Komunikasi Massa. RajaGrafindo Persada.
Ozbay, F. A., & Alatas, B. (2020). Fake news detection within online social media using supervised artificial intelligence algorithms. Physica A: Statistical Mechanics and Its Applications, 540, 123174. https://doi.org/10.1016/j.physa.2019.123174
Paulhus, D. L. (1991). Measurement and Control of Response Bias. In Measures of Personality and Social Psychological Attitudes (Third Revised and Enlarged Edition). Academic Press, Inc. https://doi.org/10.1016/b978-0-12-590241-0.50006-x
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Runtunuwu, J., Oroh, S., & Taroreh, R. (2014). Pengaruh Kualitas Produk, Harga, Dan Kualitas Pelayanan Terhadap Kepuasan Pengguna Cafe Dan Resto Cabana Manado. Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 2(3), 1803–1813. https://doi.org/10.35794/emba.v2i3.5973
Scharrer, E., & Ramasubramanian, S. (2021). Quantitative Research Methods in Communication: The Power of Numbers for Social Justice. Routledge, Taylor & Francis Group.
Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017). Fake News Detection on Social Media: A Data Mining Perspective. i. http://arxiv.org/abs/1708.01967
Sugiyono. (2013). METODE PENELITIAN KUANTITATIF, KUALITATIF, DAN R&D. ALFABETA.
Taherdoost, H., & Hamta, G. (2017). Validity and Reliability of the Research Instrument ; How to Test the Validation of a Questionnaire / Survey in a Researchfile:///C:/Users/admin/Desktop/RISACHI REPORT 2021/reference B/2190-8050-1-PB-1 SOCIO.pdf. International Journal of Sport, Exercise & Training Sciences, 5(3), 27–36. https://hal.science/hal-02546799/document
Talwar, S., Dhir, A., Kaur, P., Zafar, N., & Alrasheedy, M. (2019). Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior. Journal of Retailing and Consumer Services, 51(May), 72–82. https://doi.org/10.1016/j.jretconser.2019.05.026
Velasquez, A., & LaRose, R. (2015). Social Media for Social Change: Social Media Political Efficacy and Activism in Student Activist Groups. Journal of Broadcasting and Electronic Media, 59(3), 456–474. https://doi.org/10.1080/08838151.2015.1054998
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151 | 10.1126/science.aap9559. 1151(March), 1146–1151. 10.1126/science.aap9559
Watson, R. (2015). Quantitative research. Nursing Standard: official newspaper of the Royal College of Nursing, 29(31), 44-48. https://doi.org/10.7748/ns.29.31.44.e8681
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dafina Shafa Salsabil, Kunto Adi Wibowo

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.