Technologies and Stages of Creating a Data Journalism Product
https://doi.org/10.21453/2311-3065-2026-14-2-73-84
Abstract
The article examines the theoretical foundations and practical aspects of data journalism as an independent field of contemporary media communication. The author analyses the conceptual framework of the discipline and traces the evolution of data journalism from the computer-assisted reporting of the 1960s to the data-driven approach of the Big Data era. Drawing on the experience of Russian and foreign newsrooms, the article identifies the key stages of producing a data story: hypothesis formulation, data collection, verification, analytical processing and visualization. Special attention is paid to the communicative functions of data journalism, including increasing audience trust in media content, ensuring the transparency of the public sphere and shaping new formats of reader engagement with information. The study reveals a tension between the proclaimed objectivity of data and the editorial choices inevitably present at every stage of their processing. It is concluded that data journalism does not replace traditional genres but forms a convergent symbiosis with them. Prospects for the development of this field in Russia are linked to the expansion of open data infrastructure and the professionalization of editorial data teams.
About the Author
Yuan Shuqi
Saint Petersburg State University
Russian Federation
Russian Federation
Yuan Shuqing – is a graduate student at the Higher School of Journalism and Mass Communications
199004, St. Petersburg, Vasileostrovsky district, line 1-ya. O., 26.
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Review
For citations:
Shuqi Yu. Technologies and Stages of Creating a Data Journalism Product. Communicology. 2026;14(2):73-84. (In Russ.) https://doi.org/10.21453/2311-3065-2026-14-2-73-84
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