Data journalism in Kazakhstan as a media trend

Authors

DOI:

https://doi.org/10.26577/HJ.2020.v55.i1.03
        282 295

Keywords:

media, digital technologies, data journalism, infographics, visualization.

Abstract

This article is devoted to the modern media trend - data journalism in Kazakhstan. The authors considered various definitions of data journalism, which is becoming a new form of modern journalism, which has incorporated statistics, computer science, visual communication, infographics, etc. Data jour- nalism solves an important problem: it revives data, numbers, turning them into a history of data, reveals important problems of our time.

The purpose of the study is to study the segment of mass media in Kazakhstan that work on the principles of data journalism, and to identify trends in their development. The scientific significance of  the study is that the article analyzes the state and features of development of data journalism in modern Kazakhstan media. The practical significance of the study is that the author analyzes the application of the principles of data journalism by the Kazakhstan media in the context of the development of informa- tion and communication technologies. The practical significance of the results of the article is expressed by the fact that this work is one of the few studies in Russian language that defines the main concepts of data journalism and the use of information technologies for creating infographics. It identifies the main characteristics of the activities of Kazakhstan’s news sites and the specifics of the work of Internet publi- cations in Kazakhstan on the principles of data journalism.

Author Biographies

Барлыбаева С.Х., Al-Farabi Kazakh National University

al-Farabi Kazakh National University, Kazakhstan, Almaty

Малтабаров М.А.

Кaзaхский нaционaльный университет им. aль-Фaрaби, Алматы, Казахстан

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Электронные ресурсы:
BlogofWillems, K. 2016. Quick Guide to Data Journalism (2020, январь 20) Режимдоступа: https://www.datacamp.com/ community/blog/data-journalism-guide-tools
Блог «Исследования» издания Kursiv.kz (2020, январь 20) Режим доступа: https://kursiv.kz/news/tendencii-i-issledovaniya Блог «Инфографика» издания Кazpravda (2020, январь 20) Режим доступа: https://www.kazpravda.kz/rubric/infografika

References

Ausserhofer, J., Gutounig, R., Oppermann, M., Matiasek, S., Goldgruber, E. (2017). The datafication of data journalism scholarship: Focal points, methods, and research propositions for the investigation of data-intensive. Journalism. Advance online publication. doi:10.1177/1464884917700667.
Bahareh R. Heravi (2019) Ws of Data Journalism Education, Journalism Practice, 13:3, 349-366, DOI:
10.1080/17512786.2018.1463167
Barlybaуeva S.Kh. (2018). Cifrovaya zhurnalistika – vremya cifrovoi epohi [Digital journalism-a trend of the digital age]// Scientific-methodical conference of KazNU, 18-19 January 2018 ) - Almaty, - v. 3.- p. 70-74.
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Borges-Rey, E., (2016). Unravelling Data Journalism. Journalism Practice 10(7): 833–843. doi:10.1080/17512786.2016.1159
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Boyles, J.L., Meyer, E. (2016). Letting the data speak: Role perceptions of data journalists in fostering democratic conversation.
Digital Journalism, 4(7), 944–954. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/21670811.2016.1166063 Bradshaw, P. (2018). Data Journalism Teaching, Fast and Slow. Asia Pacific Media Educator, 28(1), 55–66. https://doi.
org/10.1177/1326365X18769395
Dick, M., (2013). Interactive infographics and news values. Digital Journalism (January 2015): 1–17. doi:10.1080/21670811.2
013.841368.
Fink, K. & Anderson, C.W. (2014). Data Journalism in the United States. Journalism Studies 16(4): 467-481. doi:10.1080/146
1670X.2014.939852.
Flew, T., Spurgeon, C.L., Daniel, A. (2012) The promise of computational journalism. Journalism Practice 6(2): 157–171. doi:
10.1080/17512786.2011.616655.
Gray, J., Bounegru, L., & Chambers, L. (2012). The Data Journalism Handbook. Sebastopol, CA: O’Reilly Media. // https:// www.oreilly.com/library/view/the-data-journalism/9781449330057/ch01.html
Green, S. (2018). When the Numbers Don’t Add Up: Accommodating Data Journalism in a Compact Journalism Programme.
Asia Pacific Media Educator, 28(1), 78–90. https://doi.org/10.1177/1326365X18766767
Gynnild, A. (2013). Journalism innovation leads to innovation journalism: The impact of computational exploration on changing mindsets. Journalism 15(6): 713-730. doi: 10.1177/1464884913486393.Heravi B. 3WS of Data Journalism Education: What, Where and Who? Taylor & Francis. 2018. URL: https://researchrepository.ucd.ie/bitstream/10197/9421/1/BHeravi-3Ws_of_ Data_Journalism_Education.pdf
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Stalph, F. (2017). Classifying Data Journalism: A content analysis of daily data-driven stories. Journalism Practice. Advance online publication. doi:10.1080/17512786.2017.1386583.
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
Uskali, T., Kuutti, H. (2015). Models and streams of data journalism. The Journal of Media Innovations, 2(1), 77–88. Retrieved from https://www.journals.uio.no/index.php/TJMI/article/download/882/1160
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Young, M. L., Hermida, A., Fulda, J. (2017). What Makes for Great Data Journalism? A content analysis of data journalism awards finalists 2012 – 2015. Journalism Practice 12(1): 115–135. doi:10.1080/17512786.2016.1270171.
Electronic resources:
Blog of Willems, K. 2016. Quick Guide to Data Journalism (2020, January 20) Rezhim dostupa: https://www.datacamp.com/ community/blog/data-journalism-guide-tools
Blog «Issledovaniya» izdaniya Kursiv.kz (2020, yanvar’ 20) Rezhim dostupa: https://kursiv.kz/news/tendencii-i-issledovaniya Blog «Infografika» izdaniya Кazpravda (2020, yanvar’ 20) Rezhim dostupa: https://www.kazpravda.kz/rubric/infografika

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How to Cite

С.Х., Б., & М.А., М. (2020). Data journalism in Kazakhstan as a media trend. Herald of Journalism, 55(1), 21–33. https://doi.org/10.26577/HJ.2020.v55.i1.03

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Journalism: Society. Language. History. Policy. Law. Economy.