National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Media Image of Media Candidates for the Prime Minister before the Elections to the Chamber of Deputies of Parliament of the Czech Republic in 2021
Jiskrová, Simona ; Němcová Tejkalová, Alice (advisor) ; Turková, Kateřina (referee)
This thesis focuses on the media image of Andrej Babiš, Petr Fiala and Ivan Bartoš in the daily newspapers Mladá fronta DNES, Hospodářské noviny and Právo in the time before the Elections to the Chamber of Deputies of Parliament of the Czech Republic in 2021. The aim of the paper is to find out whether and how the media image of these three politicians, as the most likely candidates for the Prime Minister of the Czech Republic, differed in these newspapers. In the theoretical part, key theoretical backgrounds are presented concerning the relationship between media and reality, agenda setting theory, as well as the principles of media logic, requirements for media products and media owner's influences on media image. The methodological part characterizes the research methods used, which include quantitative content analysis and visual framing. The output of the thesis is an analytical section with a presentation of the obtained results and a final chapter that is devoted to a discussion of the results with the literature, their interpretation and the limitations of the research. The Newton database was used to obtain the necessary data for the thesis.
Media Image of Media Candidates for the Prime Minister before the Elections to the Chamber of Deputies of Parliament of the Czech Republic in 2021
Jiskrová, Simona ; Němcová Tejkalová, Alice (advisor) ; Turková, Kateřina (referee)
This thesis focuses on the media image of Andrej Babiš, Petr Fiala and Ivan Bartoš in the daily newspapers Mladá fronta DNES, Hospodářské noviny and Právo in the time before the Elections to the Chamber of Deputies of Parliament of the Czech Republic in 2021. The aim of the paper is to find out whether and how the media image of these three politicians, as the most likely candidates for the Prime Minister of the Czech Republic, differed in these newspapers. In the theoretical part, key theoretical backgrounds are presented concerning the relationship between media and reality, agenda setting theory, as well as the principles of media logic, requirements for media products and media owner's influences on media image. The methodological part characterizes the research methods used, which include quantitative content analysis and visual framing. The output of the thesis is an analytical section with a presentation of the obtained results and a final chapter that is devoted to a discussion of the results with the literature, their interpretation and the limitations of the research. The Newton database was used to obtain the necessary data for the thesis.
Speeches in the Chamber of Deputies of the Parliament of the Czech Republic
Lužíková, Nicola ; Holanová, Radka (advisor) ; Hirschová, Milada (referee)
This thesis focuses on the quality of speech of Ivan Bartoš. That is being examined through three speeches, which were selected as representative for a specific type of political speech. Because of their spoken nature, the transcription of those speeches is attached, as well as a list of symboles and abbreviations used in the transcription. The key section of the thesis is linguistic analysis of the speeches, which is made on five linguistic levels. Each chapter has its relevant theoretical basis, then concrete exemples show whether the speaker adheres to the stylistic norm. In the conclusion of every analysis is a comparison of the speeches, it si a determined how the speaker adheres to the stylistic norm of rhetoric in general and whether his speech has any specifics. In the conclusion of the thesis, the findings of the research are summarized, the specifics of the speakers speech are mentioned and it's determined whether the speech of Ivan Bartoš could be considered a quality one.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.