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Data journalism in Czech online media
Jurková, Anna ; Nečas, Vlastimil (advisor) ; Jirků, Jan (referee)
This diploma thesis examines the form of articles by Czech data journalists that were published on Datablog IHNED, SAMIZDAT iROZHLAS and Deník Data between 2012 and 2022. The theoretical part of the thesis deals with the fundamental definitions of data journalism, the process of creating a data journalism project and the history, present and possible future of data journalism both in the world and in the Czech Republic. This thesis also includes a brief overview of existing studies on data journalism. The methodological part of the thesis presents its research aim, quantitative content analysis as the chosen method, the design of the research, and the analysis itself. The results of the analysis, which describe the quantitative characteristics of Czech data journalists' articles, are interpreted and compared with the findings of similar foreign studies. This work is intended to provide a better understanding of the shape of Czech data journalism and the design of the research might help further research in this area.
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Data journalism aimed by Datablog IHNED.cz
Hrbková, Nikola ; Láb, Filip (advisor) ; Kasík, Pavel (referee)
Now when information is abundant, practice of Data Journalism is quickly becoming a core technique of the 21st century newsrooms. The diploma thesis "Data Journalism aimed by Datablog IHNED.cz" is focused on introducing Data Journalism as a genre responding to the changes in the society and the technology development. The theoretical part concerns with the history of the subject, the workflow of Data Journalism in the newsrooms and the limitations; such as inappropriate business models, difficult process of collecting data or the lack of training. The main goal of the research is to map the work of the Czech data team in the IHNED.cz and compare the results with the work of teams in Australia. The research methods are combination of quantitative and qualitative analyses. The main source of information are interviews conducted with data journalists from the Czech Republic and Australia. On top of that the research gives deeper understanding of how the integration of data journalists in the newsrooms affect the way journalism can support the existence of media organizations and contribute to the public good. The last part offers predictions of the future of Data Journalism.
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Transformation of journalistic practices relating to advent of data journalism
Ďuríčková, Monika ; Dvořák, Tomáš (advisor) ; Nečas, Vlastimil (referee)
The diploma thesis titled Transformation of Journalistic Practices Relating to Advent of Data Journalism concerns the current situation in Czech data journalism and its devel- opment. It examines how the newsroom, the journalists and the readers cope with new technology, big data and the related advent of data journalism. The theoretical part of the text explains the relationship between classical journalism and data-driven journal- ism and compares the so-called "narrative" and "interactive" approaches as forms of data-driven journalism. Further it gives a deeper understanding of the relation between data journalism and the new concept of objectivity and it deals with the cultural, social and technical preconditions of data journalism. The thesis also describes the historical aspects of the topic comparing computer-assisted reporting to current practice. Sub- sequent chapters deal with the visualizations, infographics, amateur data journalism and open data which all play a key role in data-driven journalism. The practical part intro- duces the Czech data team. It was originally established within the publishing house Economia and then moved to the office of Czech Radio (Český rozhlas). The final parts discuss the cooperation model of the Czech data team, the use of visualization in their projects,...
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Data journalism aimed by Datablog IHNED.cz
Hrbková, Nikola ; Láb, Filip (advisor) ; Kasík, Pavel (referee)
Now when information is abundant, practice of Data Journalism is quickly becoming a core technique of the 21st century newsrooms. The diploma thesis "Data Journalism aimed by Datablog IHNED.cz" is focused on introducing Data Journalism as a genre responding to the changes in the society and the technology development. The theoretical part concerns with the history of the subject, the workflow of Data Journalism in the newsrooms and the limitations; such as inappropriate business models, difficult process of collecting data or the lack of training. The main goal of the research is to map the work of the Czech data team in the IHNED.cz and compare the results with the work of teams in Australia. The research methods are combination of quantitative and qualitative analyses. The main source of information are interviews conducted with data journalists from the Czech Republic and Australia. On top of that the research gives deeper understanding of how the integration of data journalists in the newsrooms affect the way journalism can support the existence of media organizations and contribute to the public good. The last part offers predictions of the future of Data Journalism.
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