National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
"Leader" Marián Kotleba
Pecuch, Valentín ; Kubátová, Hana (advisor) ; Kuľková, Miroslava (referee)
Personalization of politics has become a global phenomenon nowadays. Politicians are becoming more frequently characterized by their personal qualities, and are becoming more and more prominent at the expense of their parties. My bachelors thesis is focused on personalization of far-right groups and parties, more particularly on the personalized leadership of Marian Kotleba throughout his political career. The aim of the thesis is to analyze, to what extend does Marian Kotleba meet the indicators of a personalized leader. The thesis is divided into three chapters. The first chapter focuses on the theoretical basis, while the second sketches political biography of Marian Kotleba and political groupings and parties Slovak Togetherness, Slovak Togetherness - National Party and Kotlebists - People's Party Our Slovakia. The third part is concerned with categorizing personalized leadership of Marian Kotleba and analysis of indicators typical for personalized leaders. Resulting from our analysis, Marian Kotleba met most of the indicators marking a personalized leader. This confirms the claim that far-right parties usually have very strongly personalized leaders. However, this far-right orientation becomes a handicap, because state limited Kotleba in some instances.
The Electoral Success of Far-right in Slovakia: An Empirical Analysis
Osuský, Peter ; Zouhar, Jan (advisor) ; Formánek, Tomáš (referee)
The aim of the thesis is to find factors that were catalysts or inhibitors of the unexpected electoral success of the far-right Slovak party People's Party - Our Slovakia and to create a model that describes its electoral gains elections across districts in the latest 2016 Slovak parliamentary election. For this purpose, methods of linear regression and spatial regression analysis are applied. The thesis concludes that using specific demographic, socioeconomic and in the case of spatial regression as well geographic characteristics of individual electoral districts such as share of population with higher education, share of male population, substantial presence of Roma or Hungarian minority etc., the electoral gains of the party across them can be relatively accurately estimated.

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