TRANSFORMATION OF STATISTICAL INFORMATION INTO MEDIA CONTENT IN DATA JOURNALISM AND LANGUAGE STRATEGIES
https://doi.org/10.5281/zenodo.20005908
Kalit so‘zlar
data journalism, statistical information, language strategies, media content, data interpretation.Annotasiya
This study examines the process of transforming statistical information into media content within the framework of data journalism and explores the role played by language strategies in this process. It emphasizes that language in data journalism is not merely a tool for conveying information, but also a constitutive element that contextualizes data, interprets it, and makes it understandable for readers. The importance of fundamental linguistic approaches-such as terminology selection, conceptual consistency, simplification, and explanatory narration-is analyzed to ensure the accurate understanding of statistical data. In addition, the study highlights that the harmony between textual narration and visual data presentations, such as graphs, tables, and infographics, plays a decisive role in the correct interpretation of data. The findings reveal that effective language strategies in data journalism are among the key factors that enhance the comprehensibility, reliability, and public impact of statistical information.
Foydalanilgan adabiyotlar ro‘yhati
Cairo, A. The Functional Art: An Introduction to Information Graphics and Visualization / A. Cairo. – Berkeley: New Riders, 2013. – 384 p.
Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M. & Hullman, J. The Science of Visual Data Communication: What Works // Psychological Science in the Public Interest. – 2021. – Vol. 22(3). – P. 110–161.
Nolan, D. & Stoudt, S. Communicating with Data: The Art of Writing for Data Science / D. Nolan, S. Stoudt. – Oxford: Oxford University Press, 2021. – 288 p.
Gray, J., Bounegru, L. & Chambers, L. The Data Journalism Handbook: How Journalists Can Use Data to Improve the News / J. Gray, L. Bounegru, L. Chambers. – Sebastopol, CA: O’Reilly Media, 2012. – 242 p.
