An Empirical Study on Filter Bubbles in the YouTube Comments Network

2021 ◽  
Vol 9 (3) ◽  
pp. 52-65
Author(s):  
Dukjin Kim ◽  
Wooyoung Lee ◽  
Dohyung Kim ◽  
Gwangyong Gim
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Empirical Study ◽  
Information Acquisition ◽  
Recommendation Algorithm ◽  
Video Clips ◽  
Filter Bubble ◽  
Filter Bubbles ◽  
Video Recommendation

Some point out that the influence of YouTube's video recommendation algorithm is causing users to be exposed to only video clips in limited subjects or fields, especially to biased content with opinions that are tilted to one side. However, there is a lack of empirical research on filter bubbles as algorithms in YouTube have not been disclosed. This study indirectly demonstrated the phenomenon of filter bubble on YouTube by extracting comment-based content network between uploaders who posted videos and writers who wrote comments on the video by each subject of the contents. Also, this study analyzed communication patterns between users through social network analysis (SNA). According to the analysis, users' narrow information acquisition and communication phenomenon caused by the filter bubble in YouTube was found.

scholarly journals Network Structure in Service Ecosystems: An Empirical Study in the Region of Campania

2019 ◽  
Vol 14 (10) ◽  
pp. 61
Author(s):  
Marco Ferretti ◽  
Eva Panetti ◽  
Adele Parmentola ◽  
Annamaria Sabetta
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Empirical Study ◽  
Network Structure ◽  
Southern Italy ◽  
Small World ◽  
Small World Network ◽  
Regional Service ◽  
Service Ecosystems

The objective of this study is that of exploring the relational dimension of service ecosystems with specific regard to the structure of their networks, by conducting a social network analysis. In particular, this work attempts to primarily unveil which types of network configurations (i.e., open, closed or small words) are typical of service ecosystems. Secondly, we explore the nature of the most central actors in these networks. To these purposes, we conduct an empirical study in the Region of Campania (Southern Italy) by analyzing six regional service ecosystems in different sectors. We gathered data from the PONREC platform (Programma Operativo Nazionale "Ricerca e Competitività" 2007-2013) in order to map links among the actors in all six ecosystems. Main results show that universities and research institutions occupy brokering positions within the service ecosystems’ networks. This, in turn, suggests the efficacy of public regional initiatives in favoring the establishment of forms of collaboration between organizations of different nature. Finally, our findings show that service ecosystems are characterized by open and small world network configurations. This paper contributes to the literature focused on service ecosystems’ networks by providing an empirical and quantitative approach to the analysis of their relational characteristics.

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