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Experimental study of the influence of user behaviour on the output of the Instagram algorithn
Holubová, Jitka ; Švelch, Jaroslav (advisor) ; Švelch, Jan (referee)
Social networks are a driving force in today's society and affect more things than one might think at first glance. These include the creation of opinion bubbles, rabbit holes, the breakdown of public discourse, and more. User behavior used there varies, and its influence on the evolution of social networks, and hence its impact on their algorithms, has been described rather superficially so far. This paper will examine the influence of user behavior on the transformation of the Instagram social network algorithm. The aim of this thesis is to determine whether and to what extent the Instagram algorithm responds to different types of user behaviour through experimental research.
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Analysis of study applicants behavior on the website Faculty of Arts, Charles University in Prague.
Matička, Petr ; Souček, Martin (advisor) ; Jarolímková, Adéla (referee)
This thesis aims to clarify the issue of web analytics in general and at the same time offer its own analysis of Faculty of Arts of Charles University in Prague website. Each visitor leaves behind some trace - information that can be retrospectively analyzed and used for purely commercial purposes or for further improvement of the site. For purposes of my research I used two instruments. Analytical tool provided free of charge by Google - Google Analytics and method of questionnaires. With the first method I examined individuals interested in studying at the Faculty of Arts in a given period of time, which represents the period of the highest interest in terms of searching information about studies during academic year. The second method was then applied to narrower group interested in studying Information Studies and Librarianship during the preparatory course. Based on the analysis I came to conclusions that led to several final recommendations for possible website optimization.
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Transformation of the usage of social network Facebook during the period of 200*9 - 2017
Divišová, Alice ; Vochocová, Lenka (advisor) ; Miessler, Jan (referee)
The aim of Master's Degree Thesis "Transformation of the usage of social network Facebook during the period of 2009-2017" is to reveal changes in user behavior on the social network Facebook during the period 2009-2017 and to explain causes of those changes. The research part of this thesis is supported by several theoretical backgrounds describing the development of online media and social media and focusing on their technological, historical and social evolution. The research itself has two methods - quantitative content analysis and qualitative analysis of an audience. The main research question of quantitative content analysis "Has user behavior on social network Facebook changed in time?" is supported by four hypotheses that are built on main ideas of the theoretical framework. The main research question of qualitative analysis of an audience "Why the user behavior on social network Facebook has changed in time according to users?" builds on quantitative content analysis and explains causes and motivations of changes in user behavior on social media Facebook.
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Analysis of study applicants behavior on the website Faculty of Arts, Charles University in Prague.
Matička, Petr ; Souček, Martin (advisor) ; Jarolímková, Adéla (referee)
This thesis aims to clarify the issue of web analytics in general and at the same time offer its own analysis of Faculty of Arts of Charles University in Prague website. Each visitor leaves behind some trace - information that can be retrospectively analyzed and used for purely commercial purposes or for further improvement of the site. For purposes of my research I used two instruments. Analytical tool provided free of charge by Google - Google Analytics and method of questionnaires. With the first method I examined individuals interested in studying at the Faculty of Arts in a given period of time, which represents the period of the highest interest in terms of searching information about studies during academic year. The second method was then applied to narrower group interested in studying Information Studies and Librarianship during the preparatory course. Based on the analysis I came to conclusions that led to several final recommendations for possible website optimization.
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