The Influence of Information Sharing Behaviour on the Spread of Fake News about the 2024 Election on Social Media X

Yumna Nahdah Arum, Kunto Adi Wibowo

Abstract


The influence of information dissemination behavior on the spread of fake news regarding the 2024 Election on Social Media X is a crucial focal point in the context of political and social dynamics. A comprehensive analysis reveals the complexity of the impacts of this behavior. Firstly, the dissemination of information on social media accelerates and broadens the spread of fake news, threatening the integrity of the electoral process. Secondly, the formation of filter bubbles and echo chambers can reinforce opinion polarization and limit the diversity of perspectives within society. Thirdly, this behavior can affect voter participation and create social instability. The importance of collective efforts to mitigate these negative impacts is evident through recommendations for enhancing digital literacy, enforcing strict regulations on fake news dissemination, and promoting transparency on social media. In conclusion, information dissemination behavior has profound implications for society, demanding serious attention to safeguard democracy and maintain social harmony.


Keywords


Pemilu 2024, berita palsu, media sosial, dan perilaku menyebarkan informasi

Full Text:

PDF

References


Amilin. (2019). The Influence of Political Hoaxes in the Post-Truth Era on National Resilience and Its Impact on the Continuity of National Development. Journal of Lemhamnas RI Studies, 39, 5-11.

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. https://doi.org/10.1016/j.tele.2020.101475

Arisanty, M., Wiradharma, G., Riady, Y., Permatasari, S. M., &; Sediyaningsih, S. (2021). Construct Testing: Motives, Attitudes, Acceptance, and Behavior, Resharing Hoax Information on Social Media. Journal of Communication and Media Studies, 25 (2), 171- 190. 10.31445/jskm.2021.4366

Evangelopoulos, N., Magro, M. J., & Sidorova, A. (2012). The dual micro/macro informing role of social network sites: Can twitter macro messages help predict stock prices?. Informing Science: the International Journal of an Emerging Transformation, 15, 247- 267.

Koohikamali, M., & Sidorova, A. (2017). Information Re-Sharing on Social Network Sites in the Age of Fake News. Informing Science: the International Journal of an Emerging Transdiscipline, 20, 215-235.

Minister of Communication and Information. (2023, October 23). Minister of Communication and Information: The issue of election hoaxes has increased almost 10 times. Kominfo Press Release. HYPERLINK "https://www.kominfo.go.id/content/detail/52570/siaran-pers-no-422hmkominfo102023-tentang-menkominfo-isu-hoaks-pemilu-meningkat-hampir-10-kali-lipat/0/siaran_pers" https://www.kominfo.go.id/content/detail/52570/siaran-pers-no-422hmkominfo102023-about-menkominfo-isu-hoaks-election-increase-almost-10-times-fold /0/siaran_pers

Pusiknas Bareskrim Polri. (2023). Anticipation of Hoaxes Ahead of the Election Is Intensified. Pusiknas Polie. https://pusiknas.polri.go.id/detail_artikel/antisipasi_hoaks_jelang_pemilu_makin_digen carkan

Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., dan Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211.

Rahadi, D. R. (2017). User Behavior and Hoax Information on Social Media. Journal of Management & Entrepreneurship, 5 (1), 58-70.

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, 72-82. https://doi.org/10.1016/j.jretconser.2019.05.026

Stathopoulou,A., Siamagka, N.T., & Christodoulides, G. (2019). A Multistakeholder View of Social Media as a Supporting Tool in Higher Education: An Educator-Student Perspective. European Management Journal.

Sugiyono. (2017). Educational research methods quantitative, qualitative and R&D approaches, Bandung: CV. Alpha Beta.

Sullivan dan Koh. (2019). Social media enablers and inhibitors: Understanding their relationships in a social networking site context. International Journal of Information Management 49 (2019) 170–189.

Tallman S., Jenkish M.,Henry N., Pinch S. (2004). Knowledge, Cluster and Competitive Advantage. The Academy of Management Review, 29(2):258-271 Texas at Dallas.

Van den Hooff, B. and De Leeuw van Weenen, F. (2004). Committed to share: commitment and CMC use as antecedents of knowledge sharing. Knowledge and Process Management, Vol. 11 No. 1, pp. 13-24.

Wijk R., Justin J.P, Jansen & Marjoriea. (2008). Inter- and Intra Organizational Knowledge Transfer: A Meta-Analytic Review and Assessment of Its Antecedents and Consequences. Journal of Management Studies, 45(4):830-853 •

Yamin Sofyan, Kurniawan Heri. (2009). SPSS COMPLETE: The Most Complete Statistical Analysis Technique with SPSS software. Jakarta: Salemba Infotek

Yuan E. and , Woodman R.W. (2010). Innovative behavior in the workplace: the role of performance and image outcome expectations.

Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: modelling the predictors of fakenews sharing among social media users. Elsevier: Telematics and Informatics, 56, 1-16.https://doi.org/10.1016/j.tele.2020.101475

Number of Universities, Lecturers, and Students (Public and Private) Under the Ministry of Education, Culture, Research, and Technology by Province, 2022. (2022). Central Bureau of Statistics. Retrieved November 15, 2023, from https://www.bps.go.id/indikator/indikator/view_data_pub/0000/api_pub/cmdTdG5vU 0Iw KzBFR20rQnpuZEYzdz09/da_04/1

Runtunuwu, J. G., Oroh, S., &; Taroreh, R. (2014). THE INFLUENCE OF PRODUCT

QUALITY, PRICE, AND SERVICE QUALITY ON USER SATISFACTION OF CAFÉ AND RESTO CABANA MANADO. EMBA Journal : Journal Economic Research, Management, Business and Accounting, 2(3), 1803-1813. https://doi.org/10.35794/emba.2.3.2014.5973

Scharrer, E., & Ramasubramanian, S. (2021). Quantitative Research Methods in Communication: The Power of Numbers for Social Justice. Taylor & Francis Group.

Shofyan, N. H. (2015). THE PROBLEM OF THE LEARNING PROCESS OF INTEGRATED SOLIDEMATIC ATTITUDES CLASS I AT SDN JATIMULYO I MALANG.

Sugiyono. (2017). Quantitative, Qualitative, and R&D Research Methods. Alphabeta.

APJII Survey of Internet Users in Indonesia Reaches 215 Million People. (2023, March 10).

Indonesian Internet Service Providers Association. Retrieved November 15, 2023, from https://apjii.or.id/berita/d/survei-apjii-pengguna-internet-di-indonesia-tembus- 215-juta-or ang

Zhou, et al. (2007). Online shopping acceptance model - A critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research, 8(1)

Zhou, K. Z. (2006). Innovation, Imitation, and New Product Performance: The Case of China.

Industrial Marketing Management, Vol. 35, pp.394–402.




DOI: https://doi.org/10.30596/persepsi.v7i1.17930

Refbacks

  • There are currently no refbacks.


 

Persepsi: Communication Journal

Universitas Muhammadiyah Sumatera Utara
Kampus Pascasarjana
Jl. Denai No. 217 Medan 20226
Sumatera Utara-20238
E-mail: persepsi@umsu.ac.id