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Jurnal Komunikasi Indonesia

Abstract

News coverage on Covid-19 is important as it provides people with important updates as well as crucial information for avoiding infection. Previous studies have shown undesirable messages such as Covid-19 news that circulates in social networking sites can trigger ‘third-person perception (TPP)’, which is a phenomenon in which audiences presume a message exerts more influence upon people other than themselves. It is crucial to examine whether audiences experience TPP during consumption of pandemic news – especially when there is a possible negative correlation between TPP and protective behavioural intentions. Previous studies showed empirical evidence when users used Covid-19 news in SNS (consume, contribute or create), such use could reduce TPP and was also correlated with preventive behavioural intentions. This suggests that three types of SNS usage and personal relevance have direct relationship with protective behavioural intentions, as well as indirect relationship with TPP, where it has a mediating role. To test these hypotheses, explanatory research of a positivistic paradigm and quantitative approach was administered. This research utilized quota sampling to collect data from 400 respondents through online questionnaire. Based on the structural analysis, there is no significant relationship between TPP and preventive behavioural intentions. Analyses also did not support the hypotheses that TPP mediated: 1.) SNS usage and preventive behavioural intensions; 2.) and personal relevance and preventive behavioural intensions. Personal relevance was found to be an important construct as it had a positive influence toward preventive behavioural intentions and a negative relationship with TPP. It is suggested that low level of interaction with Covid-19 news in Social Networking Sites is due to the respondents only incidentally consumed Covid-19 news. It is also suggested that non-existing relationship between third-person perception and preventive behavioural intention is due to the mandatory nature of health protocol in Indonesia.

Bahasa Abstract

Liputan berita tentang Covid-19 menjadi penting karena memberikan update penting kepada orang-orang dan informasi penting untuk menghindari infeksi. Penelitian sebelumnya telah menunjukkan pesan yang tidak diinginkan seperti berita Covid-19 yang beredar di situs jejaring sosial dapat memicu ‘persepsi orang ketiga (TPP)’, yang merupakan fenomena di mana audiens menganggap pesan memberikan pengaruh lebih besar pada orang lain selain diri mereka sendiri. Sangat penting untuk mengecek apakah audiens mengalami TPP selama konsumsi berita pandemi – terutama ketika ada kemungkinan korelasi negatif antara TPP dan niat perilaku protektif. Studi sebelumnya menunjukkan bukti empiris ketika pengguna menerima berita Covid-19 menggunakan SNS (mengkonsumsi, berkontribusi atau membuat), mereka dapat mengurangi TPP dan juga berkorelasi dengan niat perilaku pencegahan. Ini menunjukkan bahwa tiga jenis penggunaan SNS dan relevansi pribadi memiliki hubungan langsung dengan niat perilaku protektif, serta hubungan tidak langsung dengan TPP, di mana ia memiliki peran mediasi. Untuk menguji hipotesis ini, penelitian menjelaskan tentang paradigma positivistik dan pendekatan kuantitatif dijabarkan. Penelitian ini menggunakan pengambilan sampel kuota untuk mengumpulkan data dari 400 responden melalui kuesioner online. Berdasarkan analisis struktural, tidak ada hubungan yang signifikan antara TPP dan niat perilaku preventif. Analisis juga tidak mendukung hipotesis yang dimediasi TPP: 1.) Penggunaan SNS dan intension perilaku preventif; 2.) dan relevansi pribadi dan intension perilaku preventif. Relevansi pribadi ditemukan sebagai konstruksi penting karena memiliki pengaruh positif terhadap niat perilaku preventif dan hubungan negatif dengan TPP. Dikemukakan bahwa rendahnya tingkat interaksi dengan berita Covid-19 di Situs Jejaring Sosial disebabkan oleh responden yang hanya secara kebetulan mengonsumsi berita Covid-19. Disarankan juga bahwa hubungan yang tidak ada antara persepsi orang ketiga dan niat perilaku preventif adalah karena kewajiban protokol kesehatan di Indonesia.

References

Adhikari, S. P., Meng, S., Wu, Y.-J., Mao, Y.-P., Ye, R.-X., Wang, Q.-Z., Sun, C., Sylvia, S., Rozelle, S., Raat, H., & Zhou, H. (2020). Epidemiology,causes, clinical manifestation and diagnosis, preventionand control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review. Infectious Diseases of Poverty,9(1), 29. https://doi.org/10.1186/s40249-020-00646-x

BPS. (2020a). Penduduk, Laju Pertumbuhan Penduduk, Distribusi Persentase Penduduk Kepadatan Penduduk, Rasio Jenis Kelamin Penduduk Menurut Provinsi/Kabupaten/Kota 2018-2020. Badan Pusat Statistik. https://jakarta.bps.go.id/ indicator/12/124/1/3-1-1-penduduk-laju-pertumbuhan-penduduk-distribusi-persentase-penduduk-kepadatan-penduduk- rasio-jenis-kelamin-penduduk-menurut-provinsi-kabupaten-kota-kecamatan.html

BPS. (2020b). Perilaku Masyarakat di Masa Pandemi Covid-19: Hasil Survei Perilaku Masyarakat di Masa Pandemi Covid-19.

Brosnan, K., Grün, B., & Dolnicar, S. (2021). Cognitive load reduction strategies in questionnaire design. International Journal of Market Research, 63(2), 125–133. https://doi.org/10.1177/1470785320986797

Chaffee, S. H., & Schleuder, J. (1986). Measurement and Effects of Attention to Media News. Human Communication Research, 13(1), 76–107. https://doi.org/https://doi.org/10.1111/j.1468-2958.1986.tb00096.x

Chen, H., & Atkin, D. (2020). Understanding third-person perception about Internet privacy risks. New Media & Society, 1(19), 1–16. https://doi.org/10.1177/1461444820902103

Chen, H., Wu, Y., & Atkin, D. J. (2015). Third person effect and Internet pornography in China. Telematics and Informatics, 32(4), 823– 833. https://doi.org/https://doi.org/10.1016/j.tele.2015.04.004

Chung, M., & Kim, N. (2021). When I Learn the News is False: How Fact-Checking Information Stems the Spread of Fake News Via Third-Person Perception. Human Communication Research, 47(1), 1–24. https://doi.org/10.1093/hcr/hqaa010

Coifman, K. G., Disabato, D. J., Aurora, P., Seah, T. H. S., Mitchell, B., Simonovic, N., Foust, J. L., Sidney, P. G., Thompson, C. A., & Taber, J. M. (2021). What Drives Preventive Health Behavior During a Global Pandemic? Emotion and Worry. Annals of Behavioral Medicine, 55(8), 791–804. https://doi.org/10.1093/ abm/kaab048

Davison, W. P. (1983). The Third-Person Effect in Communication. Public Opinion Quarterly, 47(1), 1–15. https://doi.org/10.1086/268763

de Hoog, N., & Verboon, P. (2020). Is the news making us unhappy? The influence of daily news exposure on emotional states. British Journal of Psychology, 111(2), 157–173. https://doi.org/https://doi.org/10.1111/bjop.12389

Gardiner, J., Oben, J., & Sutcliffe, A. (2021). Obesity as a driver of internationaldifferences in COVID-19 death rates. Diabetes, Obesity and Metabolism, 23(7), 1463–1470. https://doi.org/https://doi.org/10.1111/dom.14357

Golan, G. J., & Lim, J. S. (2016). Third-Person Effect of ISIS’s Recruit-ment Propaganda: Online Political Self-Efficacy and Social Media Activism. International Journal of Communication, 10, 21.

Gunther, A. C., & Mundy, P. (1993). Biased Optimism and the Third-Person Effect. Journalism Quarterly, 70(1), 58–67. https://doi.org/10.1177/107769909307000107

Hamidein, Z., Hatami, J., & Rezapour, T. (2020). How People Emotionally Respond to the News on COVID-19: An Online Survey.Basic and Clinical Neuroscience, 11(2), 171–178. https://doi.org/10.32598/bcn.11.covid19.809.2

Hong, Y., & Kim, S. (2020). Influence of Presumed Media Influence for Health Prevention: How Mass Media Indirectly Promote Health Prevention Behaviors through Descriptive Norms. Health Communication, 35(14), 1800–1810. https://doi.org/10.1080/10410236.2019.1663585

Huang, Q. (2020). How Does News Media Exposure Amplify Publics’Perceived Health Risks About Air Pollution in China? A Conditional Media Effect Approach. International Journal of Communication, 14(0). https://ijoc.org/index.php/ijoc/article/view/13603

Jin, Y., Fraustino, J. D., & Liu, B. F. (2016). The Scared, the Outraged, and the Anxious: How Crisis Emotions, Involvement, and Demographics Predict Publics’ Conative Coping. International Journal of Strategic Communication, 10(4), 289–308. https://doi.org/10.1080/1553118X.2016.1160401

Jung, E. H., Zhang, L., & Nekmat, E. (2020). SNS Usage and Third-person Effects in the Risk Perception of Zika Virus among Singaporean Women. Journal of Health Communication, 25(9), 736–744. https://doi.org/10.1080/10810730.2020.1840676

Kemp, S. (2021). DIGITAL 2021: INDONESIA. DataReportal. https://datareportal.com/reports/digital-2021-indonesia

Langlie, J. K. (1977). Social Networks, Health Beliefs, and Preventive Health Behavior. Journal of Health and Social Behavior, 18(3), 244–260. https://doi.org/10.2307/2136352

Laranjo, L., Arguel, A., Neves, A. L., Gallagher, A. M., Kaplan, R., Mortimer, N., Mendes, G. A., & Lau, A. Y. S. (2015). The influence of social networking sites on health behavior change: a systematic review and meta-analysis. Journal of the American Medical Informatics Association, 22(1), 243–256. https://doi.org/10.1136/amiajnl-2014-002841

Lee, H., & Park, S. (2016). Third-Person Effect and Pandemic Flu : The Role of Severity, Self-Efficacy Method Mentions, and Message Source. Journal of Health Communication, 21(12), 1244–1250. https://doi.org/10.1080/10810730.2016.1245801

Lim, J. S., Lee, J., & Lim, S. S. (2020). The First-Person Effect of Anti-Panhandling Public Service Announcement Messages on Promotional Behaviors and Donation Intentions. Journal of Promotion Management, 26(2), 207–232. https://doi.org/10.1080/10496491.2019.1699625

Lim, M. (2017). Freedom to hate: social media, algorithmic enclaves, and the rise of tribal nationalism in Indonesia. Critical Asian Studies, 49(3), 411–427. https://doi.org/10.1080/14672715.2017.1341188

Liu, X., & Lo, V.-H. (2014). Media Exposure, Perceived Personal Impact,and Third-Person Effect. Media Psychology, 17(4), 378–396. https://doi.org/10.1080/15213269.2013.826587

Lo, V., Wei, R., Lu, H.-Y., & Hou, H.-Y. (2015). Perceived Issue Importance, Information Processing, and Third-Person Effect of News about the Imported U.S. Beef Controversy. International Journal of Public Opinion Research, 27(3), 341–360. https://doi.org/10.1093/ijpor/edu039

Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I.M. (2020). Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. Journal of Anxiety Disorders, 74, 102258. https://doi.org/https://doi.org/10.1016/j.janxdis.2020.102258

Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs. International Journal of Advertising, 30(1), 13–46. https://doi.org/10.2501/IJA-30-1-013-046

Nabi, R. L., Huskey, R., Nicholls, S. B., Keblusek, L., & Reed, M. (2019). When audiences become advocates: Self-induced behavior change through health message posting in social media. Computers in Human Behavior, 99, 260–267. https://doi.org/https://doi.org/10.1016/j.chb.2019.05.030

Oeldorf-Hirsch, A., & Sundar, S. S. (2015). Posting, commenting, and tagging: Effects of sharing news stories on Facebook. Computers in Human Behavior, 44, 240–249. https://doi.org/https://doi.org/10.1016/j.chb.2014.11.024

Paat, Y. (2021, July 7). Langgar PPKM Darurat, 146 Tempat Usaha dan Perusahaan di DKI Dikenai Sanksi. Berita Satu. https://www.beritasatu.com/megapolitan/797343/langgar-ppkm-darurat-146-tempat-usaha-dan-perusahaan-di-dki-dikenai-sanksi

Paek, H.-J., Pan, Z., Sun, Y., Abisaid, J., & Houden, D. (2005). The Third-Person Perception as Social Judgment: An Exploration of Social Distance and Uncertainty in Perceived Effects of Political Attack Ads. Communication Research, 32(2), 143–170. https://doi.org/10.1177/0093650204273760

Perloff, R. M. (1999). The Third Person Effect: A Critical Review and Synthesis. Media Psychology, 1(4), 353–378. https://doi.org/10.1207/s1532785xmep0104_4

Perse, E. M. (1990). Involvement with Local Television News: Cognitive and Emotional Dimensions. Human Communication Research, 16(4), 556–581. https://doi.org/10.1111/j.1468-2958.1990.tb00222.x

Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration Likelihood Model of Persuasion. In R. E. Petty & J. T. Cacioppo (Eds.), Communication and Persuasion (pp. 1–24). Springer New York. https://doi.org/10.1007/978-1-4612-4964-1_1

Pinandhita, V. (2021, July 18). DKI-Jabar Masih Ngegas, Ini Sebaran 44.721 Kasus COVID-19 RI per 18 Juli 2021. Kompas. https://health.detik.com/berita-detikhealth/d-5647991/dki-jabar-masih-ngegas-ini-sebaran-44721-kasus-covid-19-ri-per-18-juli-2021

Rhodes, R. E., & de Bruijn, G.-J. (2013). How big is the physical activity intention–behaviour gap? A meta-analysis using the action control framework. British Journal of Health Psychology, 18(2), 296–309. https://doi.org/https://doi.org/10.1111/bjhp.12032

Rojas, H., Shah, D. v, & Faber, R. J. (1996). For the Good of Others: Censorship and the Third-Person Effect. International Journal of Public Opinion Research, 8(2), 163–186. https://doi.org/10.1093/ijpor/8.2.163

Sari, H. P., & Krisiandi. (2021, October 25). UPDATE: Ada Kasus Baru Covid-19, Terbanyak di Jakarta. Kompas.Com. https://nasional.kompas.com/read/2021/10/25/17044211/update-ada-460-kasus-baru-covid-19-terbanyak-di-jakarta?page=all Ketentuan Perjalanan Orang Dalam Negeri pada Masa Pandemi Corona Virus Disease 2019, 3 (2021) (testimony of Satgas Penanganan Covid-19). https://covid19.go.id/storage/app/media/Regulasi/2021/Juli/se-ka-satgas-nomor-16-tahun-2021-tentang-ketentuan-perjalanan-orang-dalam-negeri-dalam-masa-pandemi corona-virus-disease-2019.pdf

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

Schivinski, B., Christodoulides, G., & Dabrowski, D. (2016). Measuring Consumers Engagement With Brand-Related Social-Media Content. Journal of Advertising Research, 56(1), 64 LP – 80. https://doi.org/10.2501/JAR-2016-004

Shahin, S., Saldaña, M., & Gil de Zúñiga, H. (2021). Peripheral elaboration model: The impact of incidental news exposure on political participation. Journal of Information Technology & Politics, 18(2), 148–163. https://doi.org/10.1080/19331681.2020.1832012

Sharot, T. (2011). The optimism bias. Current Biology, 21(23), R941–R945. https://doi.org/https://doi.org/10.1016/j.cub.2011.10.030

Stavrositu, C. D., & Kim, J. (2014). Social media metrics: Third-person perceptions of health information. Computers in Human Behavior, 35, 61–67. https://doi.org/https://doi.org/10.1016/j. chb.2014.02.025

Sundar, S. S. (2008). Self as source: Agency and customization in interactive media. Routledge.

Syakurah, R. A., & Moudy, J. (2020). Pengetahuan terkait usaha pencegahan Coronavirus Disease (COVID-19) di Indonesia. HIGEIA (Journal of Public Health Research and Development), 4(3), 333–346.

Tang, L., & Wang, J. (2021). Effects of New Media Use on Health Behaviors: A Case Study in China. Iranian Journal of Public Health, 50(5 SE-Original Article(s)). https://doi.org/10.18502/ijph.v50i5.6112

Tang, S., Willnat, L., & Zhang, H. (2021). Fake news, information overload, and the third-person effect in China. Global Media and China, 6(4), 492–507. https://doi.org/10.1177/20594364211047369

Tewksbury, D., Moy, P., & Weis, D. S. (2004). Preparations for Y2K: Revisiting the behavioral component of the third-person effect. Journal of Communication, 54(1), 138–155. https://doi.org/10.1111/j.1460-2466.2004.tb02618.x

Tzur Bitan, D., Grossman-Giron, A., Bloch, Y., Mayer, Y., Shiffman, N., & Mendlovic, S. (2020). Fear of COVID-19 scale: Psychometric characteristics, reliability and validity in the Israeli population. Psychiatry Research, 289, 113100. https://doi.org/https://doi.org/10.1016/j.psychres.2020.113100

Vafeiadis, M., Bortree, D. S., Buckley, C., Diddi, P., & Xiao, A. (2020). Refuting fake news on social media: nonprofits, crisis response strategies and issue involvement. Journal of Product & Brand Management, 29(2), 209–222. https://doi.org/10.1108/JPBM-12-2018-2146

van ’t Riet, J., Ruiter, R., & de Vries, H. (2011). Preaching to the choir? The influence of personal relevance on the effects of gain- and lossframed health-promoting messages. Journal of Health Psychology, 17(5), 712–723. https://doi.org/10.1177/1359105311421047

Wei, R., Liu, X. (Sunny), & Liu, X. (2019). Examining the perceptual and behavioral effects of mobile internet fraud: A social network approach. Telematics and Informatics, 41, 103–113. https://doi.org/https://doi.org/10.1016/j.tele.2019.04.002

Wei, R., Lo, V.-H., & Lu, H.-Y. (2007). Reconsidering the Relationship Between the Third-Person Perception and Optimistic Bias. Communication Research, 34(6), 665–684. https://doi. org/10.1177/0093650207307903

Wei, R., Lo, V.-H., & Lu, H.-Y. (2008). Third-Person Effects of Health News: Exploring the Relationships Among Media Exposure, Presumed Media Influence, and Behavioral Intentions. American Behavioral Scientist, 52(2), 261–277. https://doi.org/10.1177/0002764208321355

Wei, R., Lo, V.-H., & Lu, H.-Y. (2010). The Third-person Effect of Tainted Food Product Recall News: Examining the Role of Credibility, Attention, and Elaboration for College Students in Taiwan. Journalism & Mass Communication Quarterly, 87(3–4), 598–614. https://doi.org/10.1177/107769901008700310

Wei, R., Lo, V.-H., Lu, H.-Y., & Hou, H.-Y. (2015). Examining multiple behavioral effects of third-person perception: Evidence from the news about Fukushima nuclear crisis in Taiwan. Chinese Journal of Communication, 8(1), 95–111. https://doi.org/10.1080/17544750.2014.972422

Wibhisono, I. G. L. A. K. (2021). Persepsi Risiko dan Intensi Penggunaan Masker: Sebuah Analisis Model Pengembangan Risk Perception Attitude Framework dan Heuristic-Systematic Information Processing Model dalam Konteks Pandemi Covid-19 di Kota Denpasar.

Xie, W., Campbell, S., & Zhang, W. (2020). Working memory capacity predicts individual differences in social-distancing compliance during the COVID-19 pandemic in the United States. Proceedings of the National Academy of Sciences, 117(30), 17667–17674. https://doi.org/10.1073/pnas.2008868117

Yamane, T. (1967). Statistics: An Introductory Analysis (2nd ed.). Harperand Row.

Yasa, N. N. K., Rahmayanti, P. L. D., Telagawathi, N. L. W. S., Witarsana, I. G. A. G., & Liestiandre, H. K. (2021). COVID-19 perceptions, subjective norms, and perceived benefits to attitude and behavior of continuous using of medical mask. Linguistics and Culture Review, 5(S2), 1259–1280.

Zaichkowsky, J. L. (1994). The Personal Involvement Inventory: Reduction, Revision, and Application to Advertising. Journal of Advertising, 23(4), 59–70. https://doi.org/10.1080/00913367.1943.10673459

Zhou, S., & Zhang, Z. (2021). Impact of Internet Pornography on Chinese Teens: The Third-Person Effect and Attitudes Toward Censorship. Youth & Society, 0044118X211040095. https://doi.org/10.1177/0044118X211040095

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