Information Overload, Similarity, and Redundancy: Unsubscribing Information Sources on Twitter
Publication in refereed journal

香港中文大學研究人員

其它資訊
摘要The emergence of social media has changed individuals' information consumption patterns. The purpose of this study is to explore the role of information overload, similarity, and redundancy in unsubscribing information sources from users' information repertoires. In doing so, we randomly selected nearly 7,500 ego networks on Twitter and tracked their activities in 2 waves. A multilevel logistic regression model was deployed to test our hypotheses. Results revealed that individuals (egos) obtain information by following a group of stable users (alters). An ego's likelihood of unfollowing alters is negatively associated with their information similarity, but is positively associated with both information overload and redundancy. Furthermore, relational factors can modify the impact of information redundancy on unfollowing.
著者Liang H, Fu KW
期刊名稱JOURNAL OF COMPUTER-MEDIATED COMMUNICATION
出版年份2017
月份1
卷號22
期次1
出版社WILEY
頁次1 - 17
國際標準期刊號1083-6101
語言美式英語
關鍵詞Information Repertoire,Media Consumption,Information Redundancy,Unfollowing,Twitter
Web of Science 學科類別Communication;Information Science & Library Science;Communication;Information Science & Library Science

上次更新時間 2019-17-06 於 10:19
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