Abstract

Trust and quality content creation are critical issues in data journalism. The Poynter Institute's Media Wise study found that one-fifth of teens today are exposed to misinformation online every day... Only twelve percent of teens are able to recognize fake news... So the remaining eighty-eight percent are of any kind. . and will blindly believe seemingly false news. Data projects are the main way to protect the audience from false information in such difficult times. Because data journalists check, compare, analyze data from dozens of sources and draw clear conclusions. Also, the highest quality and most reliable content is created by data scientists. The purpose of writing this study is to study the problems faced by data journalists in Uzbekistan, bureaucratic obstacles associated with access to information, openness and transparency, finding solutions and developing proposals. Conduct research In the process, we came to clear conclusions, studied the experience of data journalism in foreign media, and looked for ways to enrich and increase the diversity of information projects in Uzbekistan based on this experience. We also summarized and compared data from the projects, systematically described them and used the most important ones from a theoretical point of view. We studied the role and importance of data journalism in Uzbekistan, determined its importance in shaping public opinion and proved the need and value of information projects that can raise the worldview of the population in controlling the state budget

Keywords

hyperinformation; blog; blogosphere; high-quality and reliable content; infographics; data project; international experience; data project format; typology

References

[1] Heravi, B. (2018). 3W of data journalism education: What, where, and who? Journalism Practice, 13(3), 349-366. doi: 10.1080/17512786.2018.1463167.

[2] Nerents, D.V. (2019). Visualization of data materials in modern mass media as a method of audience engagement. Bulletin RSUH. Series "Literature Studies. Linguistics. Cultural Studies", 9, 77-85. doi: 10.28995/2686-7249-2019-9-77-85.

[3] United Nations Educational, Scientific and Cultural Organization. (2018). Data journalism handbook. France.

[4] Rogers, S., Doig, S., Peralta, A., Nicholas, R., Kaiser-Brill, P., & Pinney, L. (2017). Data presentation to the public. USA.

[5] Druker, M.M. (2020). Creating positive content on social media as a tool for forming value orientations of modern adolescents. Bulletin of Volga University named after V.N. Tatishchev, 2(32), 145-151.

[6] Lizin, M.E. (2018). The concept of "data journalism" in modern scientific publications. Communicative Studies, 3(17), 144-154. doi: 10.25513/2413-6182.2018.3.144-154.

[7] Shindalieva, M.B. (2023). Special issues of Kazakhstani mass media and data journalism. Khabarshi. Journalistic Serial, 2(68). doi: 10.26577/HJ.2023.v68.i2.011.

[8] Lisitsyn, M.E. (n.d.). Dissertation on organization website. Retrieved from http://www2.rsuh.ru/binary/object_28.1551881843.02622.pdf.

[9] Rosling, H., Rosling, O., & Rosling, A. (2021). Factfulness. Osaka: Asahi Books LLC.

[10] Neklyaev, S.E. (2010). Infographics: Principles of visual journalism. Bulletin of Moscow State University named after M.V. Lomonosov. Series 10. Journalism, 4.

[11] Concept of data journalism in coverage of Russian and foreign mass media. (2019). Moscow.

[12] Wright, K., Zamith, R., & Bebawi, S. (2019). Data journalism beyond most countries of the world: Challenges and opportunities.Digital Journalism, 7(9), 1295-1302. doi: 10.1080/21670811.2019.1702472.

[13] Bounegru, L., et al. (2021). Data journalism handbook: Towards a practice of working with critical data. Amsterdam: Amsterdam University Press. doi: 10.5117/9789462989511.

[14] DataJournalism.com. (n.d.). Retrieved from www.datajournalism.com.