Tingkat Kepercayaan Generasi Z terhadap Berita Infografis dan Berita Ringkas di Media Sosial

Stefiani Emasurya Indrajaya, Lukki Lukitawati
| Abstract views: 287 | views: 169

Abstract

Generation Z is a digital native who was born together with and fluently using the internet. Research shows that most Generation Z gathering news from social medias. However, how much Generation Z trust the online news they read on official Instagram accounts has never been investigated before. The purpose of this study is determining the level of trust Generation Z giving in online news distributed through official Instagram accounts in the form of infographic and short news. The dependent variable is level of trust in online news and the independent variable is level of reading online news on official Instagram accounts. The independent variable is accounted by six indicators derived from attribution theory. This quantitative research focuses on Generation Z in Semarang City, Indonesia, especially undergraduate students at Diponegoro University with total 107 respondents. This research was conducted during the political campaign periods in Indonesia from February to April 2019 using questionnaires for simple random data sampling. Collected data was then analyzed with multiple regressions using SPSS. The results showed that the level of reading infographic news influenced 36,4% level of trust in online news; while it showed only 28,0% for the short news. However, despite the differences in the effect of reading levels on trust levels, the two groups of respondents showed the similar final level of trust in online news. Generation Z neither trusts online news in the form of infographics nor short news. They don't trust online news on Instagram regardless the form of the news.


Generasi Z adalah generasi digital yang lahir bersama dan fasih menggunakan internet. Penelitian menunjukkan sebagian besar generasi Z mendapatkan berita dari media sosial. Namun, seberapa besar kepercayaan yang diberikan generasi Z pada berita daring yang mereka baca di akun resmi Instagram belum pernah diteliti sebelumnya. Tujuan penelitian ini adalah menentukan tingkat kepercayaan generasi Z terhadap berita daring yang dibaca melalui akun resmi Instagram dalam bentuk infografis dan bentuk berita ringkas. Variabel dependen adalah tingkat kepercayaan terhadap berita daring dan variabel independen adalah tingkat membaca berita daring di akun resmi Instagram. Variabel independen dipengaruhi oleh enam indikator yang diturunkan dari teori atribusi. Penelitian kuantitatif ini berfokus pada generasi Z di Kota Semarang, Indonesia, khususnya mahasiswa program sarjana Universitas Diponegoro dengan jumlah responden sebanyak 107 mahasiswa. Penelitian ini dilakukan selama masa kampanye politik di Indonesia pada bulan Februari hingga April 2019 dengan teknik pengambilan sampel dilakukan secara acak-sederhana menggunakan kuisioner. Data yang diperoleh kemudian dianalisis dengan regresi linear menggunakan aplikasi SPSS. Hasil penelitian menunjukkan bahwa tingkat membaca berita infografis mempengaruhi 36,4% tingkat kepercayaan terhadap berita online; sedangkan untuk berita ringkas hanya menunjukkan pengaruh sebesar 28,0%. Namun, meskipun terdapat perbedaan pengaruh tingkat membaca terhadap tingkat kepercayaan, kedua kelompok responden menunjukkan hasil akhir tingkat kepercayaan yang hampir sama pada berita daring. Generasi Z tidak mempercayai berita daring dalam bentuk infografis maupun berita ringkas. Mereka tidak mempercayai berita daring di Instagram terlepas dari apa bentuk beritanya.

Keywords

level of reading; level of trust; online news; generation Z; berita daring; generasi Z; tingkat membaca; tingkat kepercayaan

Full Text:

PDF

References

Ardèvol-Abreu, A., & Zúñiga, H. G. (2017). Effects of Editorial Media Bias Perception and Media Trust on the Use of Traditional, Citizen, and Social Media News. Journalism & Mass Communication Quarterly, 94(3), 703-724. doi:10.1177/1077699016654684

Biyani, P., Tsioutsiouliklis, K., & Blackmer, J. (2016). “8 Amazing Secrets for Getting More Clicks”: Detecting Clickbaits in News Streams Using Article Informality. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), (pp. 94-100). Phoenix, Arizona, USA.

Bucy, E. P. (2003, Summer). Media Credibility Reconsidered: Synergy Effects between On-Air and Online News. Journalism and Mass Communication Quarterly, 80(2), 247-264.

Caldwell-Stone, D. (2015). The Law Regarding Privacy and Confidentiality in Libraries (Vol. Intellectual Freedom Manual (9th ed.)). (I. T. M.Garnar, Ed.) Chicaho, IL: American Library Association.

Daugherty, T., & Hoffman, E. (2014). eWOM and The Importance of Capturing Consumer Attention Within Social Media. Journal of Marketing Communication, 20(1-2), 82-102. doi:10.1080/13527266.2013.797764

Dimmick, J., Feaster, J. C., & Hoplamazian, G. J. (2011). News in The Interstices: The Niches of Mobile Media in Space and Time. New Media & Society, 13(1), 23-39. doi:10.1177/1461444810363452

Eg, R., & Krumsvik, A. (2019). Personality Filters for Online News Interest and Engagement. Nordicom Review, 40(1), 177-194. doi:10.2478/nor-2019-0021

Graziano, L. M., & Gauthier, J. F. (2018). Media Consumption and Perceptions of Police Legitimacy. An International Journal of Police Strategies & Management, 41(5), 593-607. doi: 10.1108/PIJPSM-12-2016-0177

Gumus, A., & Dabaj, F. (2018). Comparison of Comprehension and Remembering from the Lead and Body Parts of Online News. Revista de Cercetare si Interventie Sociala, 62, 56-67.

Huang, Y. (2014). Review of A Social Strategy: How We Profit From Social Media. Journalism & Mass Communication Quarterly, 1043. doi: 10.1177/1077699015610327dd

Inggried. (2011, Juni 08). 2020, Undip Targetkan Jadi "Research University". Retrieved from Kompas.com: https://edukasi.kompas.com/read/2011

/06/08/09250559/2020.Undip.Targetkan.Jadi.Research.University

Iyengar, S., & Hahn, K. S. (2009). Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use. Journal of Communication, 59, 19-39. doi:10.1111/j.1460-2466.2008.01402.x

Kampouris, P. (2013). TL;DR (Too Long; Didn't Read)! A Study on the Effects of Length and Fluency on the Helpfulness of Online Reviews. Tilburg, Netherlands: School of Social and Behavioral Sciences Tilburg University.

Keene, J. R., Shoenberger, H., Berke, C. K., & Bolls, P. D. (2017). The Biological Roots of Political Extremism. Negativity Bias, Political Ideology, and Preferences for Political News. Politics and The Life Sciences, 36(2), 37-48. doi:10.1017/pls.2017.16

Krumsvik, A. H. (2018). Redefining User Involvement in Digital News Media. Journalism Practice, 12(1), 19-31. doi:10.1080/17512786.2017.1279025

Ksiazek, T. B., Malthouse, E. C., & Webster, J. G. (2010). News-seekers and Avoiders: Exploring Patterns of Total News Consumption Across Media and the Relationship to Civic Participation. Journal of Broadcasting & Electronic Media, 54(4), 551-568. doi:10.1080/08838151.2010.519808

Lăzăroiu, G. (2011). Social Drivers of Online News and The Conditions of Production of User-Authored Content. Review of Contemporary Philosophy, 10, 220-227.

Leung, D. K., & Lee, F. L. (2014). Cultivating an Active Online Counterpublic: Examining Usage and Political Impact of Internet Alternative Media. The International Journal of Press/Politics, 19(3), 340-359. doi:10.1177/1940161214530787

Leung, D. K., Sze, C. T., & Yee, M. M. (2011). Internet Social Movement Media (Hong Kong). In J. D. Downing, Encyclopedia of Social Movement Media (pp. 283-287). Thousand Oaks, CA: SAGE.

Ling, R. (2012). Taken for Grantedness. Cambridge, Massachusetts: The MIT Press. doi:10.5860/choice.50-6584

Margianto, J. H., & Syaefullah, A. (2012). Media Online: Antara Pembaca, Laba, dan Etika. Jakarta Pusat: Aliansi Jurnalis Independen (AJI) Indonesia.

Martínez-Costa , M.-d.-P., Serrano-Puche, J., Portilla, I., & Sánchez-Blanco , C. (2019). Young Adults’ Interaction with Online News. Media Education Research Journal, 59(XXVII), 19-28. doi:10.3916/C59-2019-0

Meijer, I. C., & Kormelink, T. G. (2015). Checking, Sharing, Clicking, and Linking: Changing Patterns of News Use Between 2004 and 2014. Digital Journalism, 3(5), 664-679. doi:10.1080/21670811.2014.937149

Moy, N., Chan, H. F., & Torgler, B. (2018, March 14). How Much is Too Much? The Effects of Information Quantity on Crowdfunding Performance. PLOS ONE, 1-15. doi:10.1371/journal.pone.0192012

Moyo, L. (2018). Evaluation of the Political Affiliation of Online Participants in Online Political Discussion of Online News Forums during the 2014 South African Elections. Journal of Politics, Economics, and Society, 8(1), 33-51. doi:10.31920/2075-6534/18/v8n1a2

Nagy, P., & Neff, G. (2015). Imagined Affordance: Reconstructing a Keyword for Communication Theory. Social Media + Society. doi:10.1177/2056305115603385

Oehmer, F. (2017). It's The Communication That Matters, too! Determinants of Interest Groups' Media Exposure in German Newspapers. Int Groups Adv, 6, 179-194. doi:10.1057/s41309-017-0027-8

Pishghadam, R., & Abbasnejad, H. (2017). Introducing Emotioncy as an Invisible Force Controlling Causal Decisions: A Case of Attribution Theory. Polish Psychological Bulletin, 48(1), 129-140. doi:10.1515/ppb-2017-0016

Prensky, M. (2001, October). Digital Natives, Digital Immigrants. On The Horizon, 9(5), pp. 1-6.

Saleh, G., & Pitriani, R. (2018, Desember). Pengaruh Media Sosial Instagram dan WhatsApp Terhadap Pembentukan Budaya "Alone Together". Jurnal Komunikasi, 10(2), 103-114.

Samuel-Azran, T., & Hayat, T. (2019). Online news recommendations credibility: The tie is mightier than the source. Media Education Research Journal, 60(XXVII), 71-80. doi:10.3916/C60-2019-07

Schrader, F.-W., & Helmke, A. (2015). School Achievement: Motivational Determinants and Processes. In J. D. Wright, International Encyclopedia of The Social & Behavioral Sciences (pp. 48-54). Oxford: Elsevier.

Shatto, B., & Erwin, K. (2016). Moving on From Millennials: Preparing for Generation Z. The Journal of Continuing Education in Nursing, 47(6), 253-254. doi:10.3928/00220124-20160518-05

Sheldon, P., & Newman, M. (Spring 2019). Instagram and American Teens: Understanding Motives for Its Use and Relationship to Excessive Reassurance-Seeking and Interpersonal Rejection. The Journal of Social Media in Society, 8(1), 1-16.

Struckmann, S., & Karnowski, V. (2016). News Consumption in a Changing Media Ecology: An MESM-Study on Mobile News. Telematics and Informatics, 33(2). doi:10.1016/j.tele.2015.08.012

Sun, I. Y., Wu, Y., Triplett, R., & Wang, S.-Y. K. (2016). The Impact of Media Exposure and Political Party Orientation on Public Perceptions of Police in Taiwan. International Journal of Police Strategies & Management, 39(4), 694-709. doi:10.1108/PIJPSM-08-2015-0099

Swanzen, R. (2018). Facing The Generation Chasm: The Parenting and Teaching of Generations Y and Z. International Journal of Child, Youth and Family Studies, 9(2), 125-150. doi:10.18357/ijcyfs92201818216

Tandoc Jr., E. C., Lim, Z. W., & Ling, R. (2018). Defining "Fake News". Digital Journalism, 6(2 : Trust, Credibility, Fake News), 137-153. doi:10.1080/21670811.2017.1360143

Towner, T., & Munoz, C. L. (2016). Boomers versus Millennials: Online Media Influence on Media Performance and Candidate Evaluations. Social Sciences, 5(56), 1-20. doi:10.3390/socsci5040056

Tsfati, Y. (2003). Does Audience Skepticism of The Media Matter in Agenda Setting? Journal of Broadcasting & Electronic Media, 47(2), 157-176. doi:10.1207/s15506878jobem4702_1

Tsfati, Y., & Cappella, J. N. (2003). Do People Watch What They Do Not Trust?: Exploring The Association Between News Media Spekticism and Exposure. Communication Research, 30(5), 504-529. doi:10.1177/0093650203253371

Valenzuela, S. (2013). Unpacking the Use of Social Media for Protest Behavior: The Roles of Information, Opinion Expression, and Activism. American Behavioral Scientist, XX(X), 1-23. doi:10.1177/0002764213479375

Vrana, S. R., Spence, E. L., & Lang, P. J. (1988). The Startle Probe Response: A New Measure of Emotion? Journal of Abnormal Psychology, 97, 487-491. doi:10.1037/0021-843X.97.4.487

Youyou, W., Kosinski, M., & Stillwell, D. (2015). Computer-Based Personality Judgments are More Accurate than Those Made by Humans. In D. Funder (Ed.), Proceedings of the National Academy of Sciences of the United States of America. 112(4), pp. 1036-1040. PNAS Early Edition. doi:10.1073/pnas.1418680112

Zúñiga, H. G., Ardèvol-Abreu, A., Diehl, T., Patiño, M. G., & Liu, J. H. (2019). Trust in Institutional Actors across 22 Countries. Examining Political, Science, and Media Trust Around the World. Revista Latina de Comunicación Social, 74, 237-262. doi:10.4185/RLCS-2019-1329-12en

Copyright (c) 2019 Jurnal Komunikasi
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Refbacks

  • There are currently no refbacks.