National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Chain emails during the 2023 presidential election
Novotná, Barbora ; Wolák, Radim (advisor) ; Klimeš, David (referee)
This thesis examines chain emails during the 2023 Czech presidential election. The practical part outlines the most important concepts related to disinformation. However, it also presents the impact of chain emails and their most common spread among the senior generation. It additionally looks at presidential election issues and disinformation shared directly by candidates. The second part of the thesis analyzes the chain emails shared two months before the election until the second round of the election and their impact on voters. Thus, the practical part deals not only with the content and language but also with the candidates' portrayal. It focuses on the main favorites of the election, Petr Pavel, Andrej Babiš and Danuša Nerudová. Nevertheless, at the same time it furthermore spotlights on candidate Jaroslav Bašta, who is directly linked to the disinformation scene. The practical part does not leave out the disinformation contained in the chain emails. During the research, the thesis uses both quantitative content analysis and qualitative semiotic analysis. By combining these two methods, it is able to provide a comprehensive picture of the influence of chain emails. Finally, the findings of both analyses are linked to a common conclusion that will present the influence of emails on voters.
Content analysis of Twitter comments towards selected male and female candidates in the 2023 presidential election
Millková, Tereza ; Svobodová, Tereza (advisor) ; Dvořák, Tomáš (referee)
This bachelor's thesis analyzes Twitter comments under the posts of three selected candidates during the 2023 presidential election. The goal is to map whether there are differences between emotions, gender stereotypes, or topics towards a particular candidate's gender, and whether these variables change reflecting the gender of Twitter users. Thematic content analysis is chosen as the research method. Data are manually collected on the Twitter platform for candidate posts. Three dates during the last month before the first round of elections are chosen for data collection. A coding method is further used for the analysis of the collected data. The results respond to six pre-selected hypotheses. The analysis is divided into three parts - a message emotion, gender aspect and progress in time. In the first part, it is shown that more comments with negative sentiment are aimed towards the female candidate, and it does not matter whether the comment is written by an anonymous or non-anonymous user. In the second part, it is confirmed that more comments with a gender aspect are aimed towards the female candidate, and they are mostly focused on appearance. In contrast, for the male candidate, gender stereotype allusions to ability and sexual innuendo are the most common themes. The last section of the...
Populism as a political style: analysis of Facebook communication of selected presidential candidates in the run-up to the 2023 Czech presidential elections
Drahota, Jan ; Křeček, Jan (advisor) ; Nečas, Vlastimil (referee)
This thesis analyses populist content as a political style. Populist content is examined in the Facebook communication of the candidates for the presidency of the Czech Republic in the 2023 elections. The period under study is November 2022, i.e. the pre-election period. Populism as a political style is represented by authors Benjamin Moffitt and the pair Jan Jagers and Stefaan Walgrave, who conceptualize characteristic elements of populism that can be analytically examined. The aim of this paper is to determine whether candidates use these elements in their Facebook communications, and if so, in what ways and to what extent. A secondary aim of the thesis is to determine the relationship of user interaction with each populist element. The theoretical part introduces the concept of populism and its possible understanding in academia. Furthermore, the theoretical part introduces social networks and the functioning of their infrastructure in terms of content dissemination. The practical part focuses on the communication of individual candidates and captures the phenomena under study, interpreting them in detail.

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