Home > Search Results: keywords:"News Feed"
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
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.
Detailed record
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...
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English