Show and tell: Audience engagement in reporting on Covid-19 vaccination in data journalism-based media

Khuswatun Hasanah, Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia
Sika Nur Indah, Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia

Abstract


Data journalism is a new genre in journalism that utilizes data visualization to engage the audience in news reporting. This engagement also provides certainty and minimizes the spread of misinformation regarding the COVID-19 vaccination policy in Indonesia. This study aims to explain how data journalism-based media, which is Katadata.co.id, communicates their news and embodies audience engagement through data visualization. The type of research is content analysis with quantitative and qualitative data collection techniques. In quantitative data collection, 49 news titles were searched, which were the results of keyword discovery in January-March 2021 in the “Data Journalism” rubric of Katadata.co.id. The data were coded according to indicators from a multimodal perspective in the concept of ergodic work, which are static information graphs, non-interactive dynamic data visualizations, and interactive dynamic data visualizations. Furthermore, in the qualitative step, the data was analyzed in-depth to explore how Katadata.co.id communicated news about COVID-19 vaccination with the showing and telling models. As a result, the COVID-19 vaccination news on Katadata.co.id also involved the audience in communicating it. In reporting the news, Katadata.co.id uses narrative techniques, which is the instance of narrators technique to characterize the narrative through the presence of news writers, the sequentiality technique to show the movement from one event to another by sliding the pages, the temporal dimension technique to describe the changes over the time with the help of dynamic elements, and tellability techniques to describe the worth-presenting COVID-19 vaccination news.


Keywords


Data Visualization, Data Journalism, COVID-19 Vaccination, Martini Glass, Multimodal

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References


Badri, M. (2017). Inovasi Jurnalisme Data Media Online di Indonesia. In Asmono Wikan & D. Hartomo (Eds.), Tren Pola Konsumsi Media di Indonesia Tahun 2017 (pp. 356–378). Serikat Perusahaan Pers. http://repository.uin-suska.ac.id/17644/1/PROSIDING IMRAS 2017-INOVASI JURNALISME DATA MEDIA ONLINE DI INDONESIA-MUHAMMAD BADRI.pdf

Bateman, J. A. (2017). Triangulating transmediality: A multimodal semiotic framework relating media, modes and genres. Discourse, Context and Media, 20(July), 160–174. https://doi.org/10.1016/j.dcm.2017.06.009

Belmonte, I. A., & Porto, M. D. (2020). Multimodal framing devices in European online news. Language & Communication, 71, 55–71. https://doi.org/10.1016/j.langcom.2019.12.001

Bounegru, L., & Gray, J. (2021). Towards a Critical Data Practice. https://doi.org/10.5117/9789462989511

Caple, H., & Bednarek, M. (2016). Rethinking news values: What a discursive approach can tell us about the construction of news discourse and news photography. Journalism, 17(4), 435–455. https://doi.org/10.1177/1464884914568078

CSIS Indonesia. (2021). Persepsi, Efektivitas, dan Kepatuhan Masyarakat dalam Peneraparan Protokol Kesehatan COVID-19 (pp. 13–18).

Damasio, A. R. (2006). Descartes’ error: Emotion, rationalit y and the human brain. Vintage.

de-Lima-Santos, M. F., & Mesquita, L. (2021). Data Journalism in favela: Made by, for, and about Forgotten and Marginalized Communities. Journalism Practice, 0(0), 1–19. https://doi.org/10.1080/17512786.2021.1922301

de Haan, Y., Kruikemeier, S., Lecheler, S., Smit, G., & van der Nat, R. (2018). When Does an Infographic Say More Than a Thousand Words?: Audience evaluations of news visualizations. Journalism Studies, 19(9), 1293–1312. https://doi.org/10.1080/1461670X.2016.1267592

Dur, B. I. U. (2012). Analysis of Data Visualizations in Daily Newspapers in Terms of Graphic Design. Procedia - Social and Behavioral Sciences, 51(Figures 1), 278–283. https://doi.org/10.1016/j.sbspro.2012.08.159

Engebretsen, M., & Kennedy, H. (Eds.). (2020). Data Visualization in Society. Amsterdam University Press. https://doi.org/10.5117/9789463722902

Gruen, G.-C. (2020). Data journalism in times of coronavirus. In DW Akademie. https://www.dw.com/en/data-journalism-in-times-of-coronavirus/a-54116323

Harcup, T., & O’Neill, D. (2017). What is News?: News values revisited (again). Journalism Studies, 18(12), 1470–1488. https://doi.org/10.1080/1461670X.2016.1150193

Hiippala, T. (2017). The Multimodality of Digital Longform Journalism. Digital Journalism, 5(4), 420–442. https://doi.org/10.1080/21670811.2016.1169197

Holsti, O. R. (1969). Content Analysis for the Social Sciences and Humanities. Addison-Wesley Publishing.

Howard, A. (2014). The Art and Science of Data-Driven Journalism. Tow Centre for Digital Journalism - a Tow/Knight Report. http://towcenter.org/the-art-and-science-of-data-driven-journalism/

Kennedy, H., & Allen, W. (2016). The Sage handbook of online research methods (2nd ed.). (pp. 307–326). SAGE Publications.

Kennedy, H., & Hill, R. L. (2018). The Feeling of Numbers: Emotions in Everyday Engagements with Data and Their Visualisation. Sociology, 52(4), 830–848. https://doi.org/10.1177/0038038516674675

Kirk, A. (2016). Data visualisation: A handbook for data driven design. SAGE Publications.

Knaflic, cole nussbaumer. (2015). Storytelling with Data: a data visualization guide for business professionals. ohn Wiley & Sons, Inc., Hoboken, New Jersey.

Meijer, I. C. (2021). What is Valuable Journalism? Three Key Experiences and Their Challenges for Journalism Scholars and Practitioners*. Digital Journalism, 0(0), 1–23. https://doi.org/10.1080/21670811.2021.1919537

Nasrullah, R. (2014). Teori dan Riset Media Siber (Cybermedia). Prenada Media.

Nathaniel, M. (2019). Alur Kerja Data Journalist di Katadata [Universitas Multimedia Nusantara]. http://kc.umn.ac.id/id/eprint/13069

Rogers, S. (2013, March 15). John Snow’s data journalism: the cholera map that changed the world. The Guardian. https://www.theguardian.com/news/datablog/2013/mar/15/john-snow-cholera-map

Segel, E., & Heer, J. (2010). Narrative visualization: Telling stories with data. IEEE Transactions on Visualization and Computer Graphics, 16(6), 1139–1148. https://doi.org/10.1109/TVCG.2010.179

Smith, R., Cubbon, S., & Wardle, C. (2020). Under the surface: Covid-19 vaccine narratives, misinformation & data deficits on social media. https://firstdraftnews.org/vaccinenarratives-full-report-november-2020

Sukardani, P. S. (2019). in News Media : A Comparative Study on Online Media Platforms in Indonesia. 380(SoSHEC), 111–116.

Tentang Katadata. (2012). Katadata.Co.Id. https://katadata.co.id/tentang-katadata

Weber, W. (2020). Exploring narrativity in data visualization in journalism. In M. Engebretsen & H. Kennedy (Eds.), Data Visualization in Society (pp. 296–307). Amsterdam University Press.




DOI: https://doi.org/10.21831/informasi.v53i1.54247

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