Data journalism visualization in Ukraine and in Europe: a comparative analysis
Keywords:
data visualization, data media, data journalism, content analysis, comparative analysis.
Abstract
The article aims to investigate the peculiarities of data visualization in Ukrainian and European data media, which will help outline trends and development tendencies in data journalism. The research results will form a list of promising methods and forms of data visualization in journalistic practice. The research used the method of content analysis of journalistic materials and comparative analysis of Ukrainian and European data media. The use of such a methodological toolkit is due to the visual component of the analyzed objects and the need to fill a gap in data journalism research as a comparative analysis of the Ukrainian and European practice of visualizing materials in data media has not been conducted before. The study results showed common trends in using visual resources as the most common way of visualizing data. The European edition uses more types of visual objects in the same material. It was also found that the European data media pay more attention to the text, while the Ukrainian one focuses on the visual component. Common trends are observed when analyzing visualization and interactivity functions. Both editions mostly use visualization to reinforce and supplement textual information, and the hypothesis of a fading trend toward interactivity is confirmed.
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References
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Bidzilya, Yu., & Kravets, D. (2019). Development of open data as new perspectives and opportunities for modern Ukrainian journalism. Collection of scientific works of the Research Institute of Press Studies, 9 (27), 232-245. https://doi.org/10.37222/2524-0331-2019-9(27)-13.
Boczkowski, P. (2004). The Processes of Adopting Multimedia and Interactivity in Three Online Newsrooms. Journal of Communication, 54(2), 197-213.
Borges-Rey, E. (2016). Unravelling Data Journalism. Journalism Practice, 10(7), 833-843. https://doi.org/10.1080/17512786.2016.1159921
Borgo, R., Kehrer, J., Chung, D., Maguire, E., Laramee, R., Hauser, H., Ward, M., & Chen, M. (2013). Glyph-Based Visualization: Foundations, Design Guidelines, Techniques and Applications. Eurographics State of the Art Reports. Retrieved from https://core.ac.uk/download/pdf/78856764.pdf
Burdina, E. (2016). Infographics on television: the impact of infotainment on the visualization of facts. State and regions, 3, 75-80. Retrieved from http://nbuv.gov.ua/UJRN/drsk_2016_3_14
Burmester, M., Mast, M., Tille, R., & Weber, W. (2010). How Users Perceive and Use Interactive Information Graphics: An Exploratory Study [Paper]. In Banissi, Ebad (ed.) Proceedings. 4th International Conference Information Visualization (IV 2010), London, 26-29 July, 2010.
Coddington, M. (2015). Clarifying Journalism’s Quantitative Turn. Digital Journalism, 3(3), 331-348. https://doi.org/10.1080/21670811.2014.976400
Cohen, S., Hamilton, J., & Turner, F. (2011). Computational Journalism. Communications of the ACM, 54(10), 66-71. https://doi.org/10.1145/2001269.2001288
Córdoba-Cabús, A. (2020). Estándares de calidad en el periodismo de datos: fuentes, narrativas y visualizaciones en los Data Journalism Awards 2019. El Profesional de la información, 29(3). https://doi.org/10.3145/epi.2020.may.28
Córdoba-Cabús, A., & García-Borrego, M. (2020). Visualisations as a critical information source for data journalism. Analysis of the typology, interactivity, and functions in the 2019 Data Journalism Awards. Doxa Comunicación, 31, 87-105.
De-Maeyer, J., Libert, M., Domingo, D., Heinderyckx, F., & Le-Cam, F. (2015). Waiting for Data Journalism. Digital Journalism, 3(3), 432-446. https://doi.org/10.1080/21670811.2014.976415
Domingo, D. (2008). Interactivity in the Daily Routines of Online Newsrooms: Dealing with an Uncomfortable Myth. Journal of Computer-Mediated Communication, 13(3), 680-704
Drozdova, E., Kelm, N., Gerasemchuk, K., & Nabozhniak, O. (2022a). Fire shaft. How and which projectiles arrive at ukrainian positions. Texty.org.ua. Retrieved from https://texty.org.ua/projects/107013/vohnyanyj-val-yak-i-yaki-snaryady-prylitayut-na-ukrayinski-pozyciyi/.
Drozdova, E., Kelm, N., Gerasimenko, V., & Bondarenko, A. (2022b). Rising prices: The State Statistics Service does not lie. But check how your expenses have increased. Texty.org.ua. Retrieved from https://texty.org.ua/projects/105550/infliation/.
Engebretsen, M. (2006). Shallow and Static or Deep and Dynamic? Studying the State of Online Journalism in Scandinavia. Nordicom Review, 27(1), 3-16.
Engebretsen, M., Kennedy, H., & Weber, W. (2018). Data visualization in Scandinavian newsrooms: emerging trends in journalistic visualization practices. Nordicom Review, 39(2), 1-16. https://doi.org/10.21256/zhaw-3505
Esser, F. (1999). “Tabloidization” of News: A Comparative Analysis of Anglo-American and German Press Journalism. European Journal of Communication, 14(3), 291-324. https://doi.org/10.1177/0267323199014003001
Fink, K., & Anderson, C. (2015). Data Journalism in the United States. Journalism Studies, 16(4), 467-481. https://doi.org/10.1080/1461670X.2014.939852
Flew, T., Spurgeon, C., Daniel, A., & Swift, A. (2012) The Promise of Computational Journalism. Journalism Practice, 6(2), 157-171. https://doi.org/10.1080/17512786.2011.616655
Gray, J., Bounegru, L., & Chambers, L. (2012). The Data Journalism Handbook. Sebastopol, Ucrania: O’Reilly Media.
Hamilton, J. (2016). Democracy’s detectives: The economics of investigative journalism. Cambridge, MA: Harvard University Press.
Hannaford, L. (2015). Computational Journalism in the UK Newsroom: Hybrids or Specialists? Journalism Education, 4(1), 6-21.
Hermida, A., & Young, M. (2017). Finding the Data Unicorn. A hierarchy of hybridity in data and computational journalism. Digital Journalism, 5(2), 159-176. https://doi.org/10.1080/21670811.2016.1162663
Howard, A. (2014). The art and science of data-driven journalism. New York, Estados Unidos: Tow Center for Digital Journalism. https://doi.org/10.7916/D8Q531V1
Klass, G. (1985). How to Compare Nations: Strategies in Comparative Politics. By Mattei Dogan and Dominique Pelassy. (Chatham, N.J.: Chatham House Publishers, 1984). American Political Science Review, 79(1), 243-244. doi: https://doi.org/10.2307/1956182
Knight, M. (2015). Data journalism in the UK: a preliminary analysis of form and content. Journal of Media Practice, 16(1), 55-72. https://doi.org/10.1080/14682753.2015.1015801
Kostenko, N., & Ivanov, V. (2003). Content analysis experience: Models and practices: Monograph. Free Press Center, 200 p. (In Ukranian)
Lichenko, A. (2018). Interpretation of the term "data journalism" in foreign media studies: a comparative analysis. Media space: problems and challenges of today: materials of the All-Ukrainian scientific and practical conference of students and young scientists (Kyiv, April 25, 2018). Institute of Journalism, 75-79. Retrieved from https://er.nau.edu.ua/bitstream/NAU/41209/1/Lichenko_tezy.pdf.
Lichenko, A. (2019). Interactive visualization as a way of representing a large amount of data in the media (on the example of the Guardian). Visnyk of the Lviv University. Series Journalism, 45, 230-237. http://dx.doi.org/10.30970/vjo.2019.45.10005
Loosen, W., Reimer, J., & De Silva-Schmidt, F. (2020). Data-driven reporting: An on-going (r)evolution? An analysis of projects nominated for the Data Journalism Awards 2013–2016. Journalism, 21(9), 1246–1263. https://doi.org/10.1177/1464884917735691
McMillan, S. (2006). Exploring Models of Interactivity from Multiple Research Traditions: Users, Documents and Systems. The Handbook of New Media. London, Thousand Oaks, New Dehli: SAGE, 205-229.
Medvedeva, K. (2020). Data journalism: the role of visualization in the recipient's perception of data. National Aviation University, Kyiv, 77 p. (In Ukranian)
Meier, K., Schützeneder, J., García Avilés, J. A., Valero-Pastor, J. M., Kaltenbrunner, A., Lugschitz, R., ... & Saner, M. (2022). Examining the Most Relevant Journalism Innovations: A Comparative Analysis of Five European Countries from 2010 to 2020. Journalism and Media, 3(4), 698-714. Retrieved from http://dx.doi.org/10.3390/journalmedia3040046
Morphonios, N. (2022). Greek courts abuse pre-trial detention. European Data Journalism network. Retrieved from https://www.europeandatajournalism.eu/eng/News/Data-news/Greek-courts-abuse-pre-trial-detention.
Nagorna, Yu., & Poplavska, N. (2022). Data visualization in the news shows on the Ternopil tv channels. Grail of science, 11, 309-313. https://doi.org/10.36074/grail-of-science.24.12.2021.050.
Nguyen, A. (2017). News, numbers and public opinion in a data-driven world. New York, NY: Bloomsbury Academic.
Ojo, A., & Heravi, B. (2018). Patterns in Award-Winning Data Storytelling. Digital Journalism, 6(6), 693-718. https://doi.org /10.1080/21670811.2017.1403291
Oksymets, O., Gerasimenko, V., & Drozdova, E. (2022). War video. Chronology. Texty.org.ua. Retrieved from https://texty.org.ua/d/2022/war_video/en/index.html?
Open Data Inventory. (2021). Open Data Watch. Retrieved from https://odin.opendatawatch.com/
Paraise, S., & Darigal, E. (2012). Data-driven journalism and the public good: “Computer assisted-reporters” and “programmer-journalists” in Chicago. New media & society, 15(6), 853-871. https://doi.org/10.1177/1461444812463345
Polyuga, V. (2019). Big data technology (Big Data): main characteristics and prospects for use in journalism. Dialogue: Media studios, 25, 144-154. https://doi.org/10.18524/2308-3255.2019.25.195599
Rinsdorf, L., & Boers, R. (2016). The need to reflect. Data journalism as an aspect of disrupted practice in digital journalism and in journalism education. In Proceedings of the Roundtable Conference of the International Association of Statistics Education (IASE), Berlin, July 2016. Retrieved from http://iase-web.org/documents/papers/rt2016/Rinsdorf.pdf
Royal, C. (2010). The journalist as programmer: A case study of The New York Times interactive news technology department. Paper presented at the International Symposium on Online Journalism, Austin, Texas. Retrieved from https://online.journalism.utexas.edu/2010/papers/Royal10-1.pdf
Royal, C., & Blasingame, D. (2015). Data journalism: An explication. International Symposium on online journalism, 5(1), 24-46. Retrieved from https://bit.ly/34lyrIS
Rudchenko, A. (2017). Infographics and dynamic visualization as a trend of modern media. Crossmedia: content, technologies, perspectives: monography. Kyiv: Institute of Journalism of Taras Shevchenko Kyiv National University, 75-83. Retrieved from https://r.donnu.edu.ua/handle/123456789/1559
Salvatierra, C. (2008). Análisis de la composición gráfica de infografías periodísticas impresas, de las secciones ‘Internacionales’ y ‘Policiales’ del diario Clarín en el periodo de tiempo comprendido entre 1960 y 2008 (Trabajo Fin de Grado). Universidad Abierta Interamericana, Buenos Aires. Retrieved from https://bit.ly/3cKy8uG
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
Shevchenko, V. (2014). Visual content as a trend of modern journalism. Mediascope, 4. Retrieved from http://www.mediascope.ru/1654
Splendore, S., Di Salvo, P., Eberwein, T., Groenhart, H., Kus, M., & Porlezza, C. (2016). Educational strategies in data journalism: A comparative study of six European countries. Journalism, 17(1), 138-152. https://doi.org/10.1177/1464884915612683
Stalph, F. (2017). Classifying Data Journalism. Journalism Practice, 12(1), 1332-1350. https://doi.org/10.1080/17512786.2017.1386583
Sunne, S. (2016). How data journalism is different from what we’ve always done. American press Institute. Retrieved from https://www.americanpressinstitute.org/publications/reports/strategy-studies/how-data-journalism-is-different/
Tabary, C., Provost, A., & Trottier, A. (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, E., & Soo-Kwang, O. (2017). Small Departures, Big Continuities? Journalism Studies, 18(8), 997-1015. https://doi.org/10.1080/1461670X.2015.1104260
Uskali, T., & Kuutti, H. (2015). Models and Stream of Data Journalism. The Journal of Media Innovations, 2(1), 77-88. http://dx.doi.org/10.5617/jmi.v2i1.882
Weber, W., & Rall, H.-M. (2016). Design and journalism. Challenges and opportunities: A dialogue between two cultures. In W.W. Wong, Y. Kikuchi, & T.S. Lin (Eds.), Making Trans / National Contemporary Design History. 10th Conference of the International Committee for Design History & Design Studies (ICDHS 2016) (pp. 313-318). Sao Paulo: Blucher.
Weber, W., & Rall, H.-M. (2012). Data visualization in online journalism and its implications for the production process. In E. Banissi et al. (Eds.,) Information Visualisation. Proceedings of the 16th International Conference on Information Visualisation (pp. 349–356). Montpellier, France: IEEE Computer Society. DOI 10.1109/IV.2012.65
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Published
2023-05-30
How to Cite
Solodovnyk, D., Havryliuk, I., Sypchenko, I., Ishchenko, O., & Kyrylenko, O. (2023). Data journalism visualization in Ukraine and in Europe: a comparative analysis. Amazonia Investiga, 12(64), 102-116. https://doi.org/10.34069/AI/2023.64.04.10
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