Data Journalism Products in Digital Media during the Pandemic
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Abstract
The localization of data journalism in Indonesia has also produced data-driven news. Localization and the context of COVID-19 can encourage the formation of data-driven news different from the investigative and complex nature of data journalism products. This article aims to assess the news elements of data journalism products in 317 data-driven COVID-19 news in online media in Indonesia, namely Katadata.co.id, Kompas.id, and Tirto.id. The analytical framework used in this study is based on the concept of news elements of data journalism products (Zamith 2019; Ojo and Heravi 2018; Loosen, Reimer, and De Silva-Schmidt 2020). The results of the quantitative content analysis show that data-driven COVID-19 news in the three online media in Indonesia is characterized by news sources that tend to rely on pre-analyzed open sources, less complex data visualization and interactive features, and weak implementation of source and process transparency. This study concludes that the data journalism developed in Indonesia during the COVID-19 pandemic is the daily data journalism model shaped by the availability of easily accessible and free data and software.
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References
Appelgren, Ester. 2018. “An Illusion of Interactivity: The paternalistic side of data journalism.” Journalism Practice 12 (3): 308–25. https://doi.org/10.1080/17512786.2017.1299032.
Borges-Rey, Eddy. 2016. “Unravelling Data Journalism: A study of data journalism practice in British newsrooms.” Journalism Practice 10 (7): 833–43. https://doi.org/10.1080/17512786.2016.1159921.
Coddington, Mark. 2015. “Clarifying Journalism’s Quantitative Turn: A typology for evaluating data journalism, computational journalism, and computer-assisted reporting.” Digital Journalism 3 (3): 331–48. https://doi.org/10.1080/21670811.2014.976400.
Danayanti, Eva, Bayu Wardhana, Adi Marsiela, dan Febrina Galuh. 2021. “Menilai Penerapan Jurnalisme Data dan Investigasi Berbasis Data di Indonesia.” Jakarta Selatan.
Dimas, *, Jarot Bayu, dan Endah Triastuti. 2020. “SEARCH Journal of Media and Communication Research.” SEARCH. Vol. 12. http://search.taylors.edu.my.
Hermida, Alfred, dan Mary Lynn Young. 2019. Data Journalism and the Regeneration of News. First. Oxon: Routledge. www.routledge.com/Disruptions/book-series/DISRUPTDIGJOUR.
Karlsson, Michael. 2010. “RITUALS OF TRANSPARENCY.” Journalism Studies 11 (4): 535–45. https://doi.org/10.1080/14616701003638400.
Kurnia, Sherah, Anis, Fuad, Rod Dilnutt, Guardian Yoki Sanjaya, Helen Brown, dan Safirotu Khoir. 2021. “Tiga alasan mengapa data COVID-19 di Indonesia tak dapat dipercaya dan bagaimana mengatasinya.” The Conversation. 2021. https://theconversation.com/tiga-alasan-mengapa-data-covid-19-di-indonesia-tak-dapat-dipercaya-dan-bagaimana-mengatasinya-159535.
Loosen, Wiebke, Julius Reimer, dan Fenja De Silva-Schmidt. 2020. “Data-driven reporting: An on-going (r)evolution? An analysis of projects nominated for the Data Journalism Awards 2013–2016.” Journalism 21 (9): 1246–63. https://doi.org/10.1177/1464884917735691.
Lowrey, Wilson, dan Jue Hou. 2021. “All forest, no trees? Data journalism and the construction of abstract categories.” Journalism 22 (1): 35–51. https://doi.org/10.1177/1464884918767577.
Mutsvairo, Bruce. 2019. “Challenges Facing Development of Data Journalism in Non-Western Societies.” Digital Journalism 7 (9): 1289–94. https://doi.org/10.1080/21670811.2019.1691927.
Ojo, Adegboyega, dan Bahareh Heravi. 2018. “Patterns in Award Winning Data Storytelling: Story Types, Enabling Tools and Competences.” Digital Journalism 6 (6): 693–718. https://doi.org/10.1080/21670811.2017.1403291.
Reimer, Julius, dan Loosen Wiebke. 2018. “Data Journalism at its Finest: A Longitudinal Analysis of The Characteristics of Award-Nominated Data Journalism Project.” Dalam News, Numbers, and Public Opinion in Data-Driven World, disunting oleh An Nguyen, 93–112. New York: Bloomsbury Publishing USA.
Segel, Edward, dan Jeffrey Heer. 2010. “Narrative visualization: Telling stories with data.” IEEE Transactions on Visualization and Computer Graphics 16 (6): 1139–48. https://doi.org/10.1109/TVCG.2010.179.
Stalph, Florian, dan Eddy Borges-Rey. 2018. “Data Journalism Sustainability: An outlook on the future of data-driven reporting.” Digital Journalism 6 (8): 1078–89. https://doi.org/10.1080/21670811.2018.1503060.
Stalph, Florian, dan Bahareh Heravi. 2021. “Exploring Data Visualisations: An Analytical Framework Based on Dimensional Components of Data Artefacts in Journalism.” Digital Journalism. https://doi.org/10.1080/21670811.2021.1957965.
Tabary, Constance, Anne Marie Provost, dan Alexandre Trottier. 2016. “Data journalism’s actors, practices and skills: A case study from Quebec.” Journalism 17 (1): 66–84. https://doi.org/10.1177/1464884915593245.
Tandoc, Edson, dan Soo Kwang Oh. 2017. “Small Departures, Big Continuities?: Norms, values, and routines in The Guardian’s big data journalism.” Journalism Studies 18 (8): 997–1015. https://doi.org/10.1080/1461670X.2015.1104260.
Uskali, Turo, dan Heikki Kuuti. 2015. “View of Models and Streams of Data Journalism.” The Journal of Media Innovations 2 (1): 77–88.
Veglis, Andreas, dan Charalampos Bratsas. 2017. “Towards A Taxonomy of Data Journalism.” Journal of Media Critiques 3 (11): 109–21. https://doi.org/10.17349/jmc117309.
Westlund, Oscar, dan Alfred Hermida. 2020. “Data Journalism and Misinformation.” Dalam The Routledge Companion to Media Disinformation and Populism, disunting oleh Howard Tumber dan Silvio Waisbord, 1 ed., 1:138–47. Oxon: Routledge.
Wright, Scott, dan Kim Doyle. 2019. “The Evolution of Data Journalism: A Case Study of Australia.” Journalism Studies 20 (13): 1811–27. https://doi.org/10.1080/1461670X.2018.1539343.
Wu, Shangyuan. 2021. “Data ‘Objectivity’ in a Time of Coronavirus: Uncovering the Potential Impact of State Influence on the Production of Data-Driven News.” Digital Journalism 9 (9): 1231–48. https://doi.org/10.1080/21670811.2021.1942111.
Young, Mary Lynn, Alfred Hermida, dan Johanna Fulda. 2018. “What Makes for Great Data Journalism?: A content analysis of data journalism awards finalists 2012–2015.” Journalism Practice 12 (1): 115–35. https://doi.org/10.1080/17512786.2016.1270171.
Zamith, Rodrigo. 2019. “Transparency, Interactivity, Diversity, and Information Provenance in Everyday Data Journalism.” Digital Journalism 7 (4): 470–89. https://doi.org/10.1080/21670811.2018.1554409.