National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Development of overdetermination in Freud's theories
Zítko, Tomáš ; Fulka, Josef (advisor) ; Kuchař, Jakub (referee)
The thesis traces the development of the concept of overdetermination in Freud's thought. In his writings we can trace the shift from the implicitly formed idea of determinate memories, through the introduction of the concept of overdetermination, to the clear establishment of its place in relation to other concepts in his theory. The thesis thus attempts to capture the term in its full meaning in relation to the actual theories that were developing in the period and attempts to capture the term in its full, and if possible, exhaustive meaning.
Visual framing of the war in Ukraine
Zítko, Tomáš ; Lábová, Sandra (advisor) ; Géla, František (referee)
The thesis "Visual Framing of the War in Ukraine" examines how Czech and foreign newspapers construct the media image of this conflict in published photographs. The theoretical focus of the thesis is mainly on framing theory and its visual dimension, agenda setting and peace journalism, using this normative direction as a starting point for the frames analysed in the practical part of the thesis. The analysis combines quantitative and qualitative approaches The aim of the quantitative part of the analysis was to fill in the previously missing data on the visual framing of the war in Ukraine by Czech and foreign media. Furthermore, it focused on the development of the frequency of photographic coverage of the analysed conflict and the identification of the roles of actors appearing in the images. The qualitative part attempted to explore the findings of the quantitative part in more depth by analysing a selected part of the images depicting the identified frames.
Algorithmization of social media and its effects on online media
Zítko, Tomáš ; Kasík, Pavel (advisor) ; Jirků, Jan (referee)
The rise of social media has changed how growing numbers of internet users get their news. Unlike traditional media, there is no universal information for everyone on social networking sites. Instead, each user receives a personalized sample of posts picked for him by a filtering algorithm. The workings of those two types of information selection are the main topic of this paper. Based on the gatekeeping theory, I offer models of editorial and algorithmic news selection and their comparison. I also compare different values of human and algorithmic gatekeepers and introduce the concept of objectivity and its limits in both cases. In the second part of this thesis, I present qualitative research into the awareness of the Facebook algorithm. Using semi-structured interviews with seven Facebook users I explore a set of specific examples of how users view Facebook as an information source, how they understand its algorithmic nature, and how satisfied are they with it. The main aim of this theses is to investigate whether the users are aware if various limitations resulting from the news-filtering technology in general.
Algorithmization of social media and its effects on online media
Zítko, Tomáš ; Kasík, Pavel (advisor) ; Jirků, Jan (referee)
The thesis Algorithmization of social media and it's effects on online news consumption examines the transition of social networking sites from chonological display of posts to automatized system of relevance assignment. This assesment is realized through algorithmic filters, which uses predefined criteria and processes to assign relevance to individual posts. Main goal of this thisis is to define compare a theoretical model of mechanized selection with traditional editorial model, together with user understanding of Facebook algoritmization. The thesis combines a theoretical part, which presents the specifics of both models, with qualitative research with aims of the conceptualization of user's understanding of the algoritmized nature of Facebook. The theoretical section also integrates algoritmic filters with the current gatekeeping theory, compares news and algorithmic values and describes the basic biases, which may occur in the two models of information selection. The second part of the thesis explores the user understanding of Facebook algorithmization. The methodology is based on qualitative research with case study design through semi-structured interviews with seven Facebook users. Interview analysis is based on predefined body of subjects: general information, understanding of algorithmization and...

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