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Analysis of online communication of Jindřich Rajchl and Ladislav Vrabel through the perspective of personalisation theories
Mikulová, Dominika ; Charvát, Jan (advisor) ; Hájek, Lukáš (referee)
The diploma thesis is devoted to the analysis of the online communication of actors Jindřich Rajchl and Ladislav Vrabel through the lens of personalisation theories. The thesis analyses the actors' Facebook communication in the time span from 1 September 2021 to 30 September 2022. The aim of the thesis is to find out to what extent the actors' communications are personalised, based on the used communication basis and the established typology of personalised communication. At the same time, the thesis tries to find out what are the most frequent themes in the actors' communications. Finally, the results of this analysis are compared, and the similarities and differences of the individual communications are identified. The method of quantitative content analysis, manual coding and comparison is used in the thesis. The results of this thesis show that the communications of both actors carry elements of personalization, with a predominant communicative background in both cases in which the actor speaks for himself and also elements of private communication. For both actors, the theme of criticism of the government dominates. Despite the initial similarity of the communications, there are differences in the level of personalisation and the themes with which the actors engage. Despite some limitations of...
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The effect of forced Ukrainian migration on the labour market in the Czech Republic
Stavarová, Nikola ; Pertold-Gebicka, Barbara (advisor) ; Šťastná, Lenka (referee)
This work aims to analyze the effect of forced migration on the Czech labor market. Specifically, I investigated the possible impact of the wave of refugees on the development of unemployment in localities of the Czech Republic after the outbreak of the war in Ukraine on February 24, 2022. I based the analysis on cross-sectional data at the district level and I added observation for Prague to the dataset. I've had data on unemployment and migration for the 2022-2023 period. I created a model where the dependent variable was the percentage difference in unemployment, which represented its development, and the main explanatory variable was migration. I also added other independent variables for more accurate estimates. I estimated this model using the method of ordinary least squares and I also used the two- stage least squares method due to the assumption of endogenity. As part of the second- mentioned method, I used the instrumental variable of the level of the Ukrainian population from 2018. I statistically tested the endogeneity in the model with the Hausmann test. I also estimated the models on a limited dataset, where I omitted three observations with outliers. I complemented the entire analysis of forced immigration with an analysis of economic migration, which reflected the main research, and...
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