https://scholars.lib.ntu.edu.tw/handle/123456789/629999
標題: | Birds of a Feather Get Recommended Together: Algorithmic Homophily in YouTube’s Channel Recommendations in the United States and Germany | 作者: | Jonas Kaiser ADRIAN RAUCHFLEISCH |
關鍵字: | algorithms; recommendation algorithms; homophily; network analysis; YouTube; filter bubble | 公開日期: | 2020 | 出版社: | SAGE PUBLICATIONS LTD | 卷: | 6 | 期: | 4 | 來源出版物: | Social Media + Society | 摘要: | Algorithms and especially recommendation algorithms play an important role online, most notably on YouTube. Yet, little is known about the network communities that these algorithms form. We analyzed the channel recommendations on YouTube to map the communities that the social network is creating through its algorithms and to test the network for homophily, that is, the connectedness between communities. We find that YouTube’s channel recommendation algorithm fosters the creation of highly homophilous communities in the United States (n = 13,529 channels) and in Germany (n = 8,000 channels). Factors that seem to drive YouTube’s recommendations are topics, language, and location. We highlight the issue of homophilous communities in the context of politics where YouTube’s algorithms create far-right communities in both countries. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/629999 | ISSN: | 2056-3051 | DOI: | 10.1177/2056305120969914 |
顯示於: | 新聞研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。