#研究分享#【社交媒体取关,是因为信息过载吗?】

#研究分享#【社交媒体取关,是因为信息过载吗?】研究者随机选取了约7500个Twitter上的个体网,通过跟踪这些用户的活动,发现个人往往通过关注一组稳定的用户来获取信息。个人是否取消对他人的关注,这一行为的可能性与他们之间的信息相似性呈负相关,但是与信息过载和冗余呈正相关。http://www.looooker.com/archives/38646

Businesswoman idea concept on blackboard

 

Abstract: 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.

 

Keywords: Information Repertoire, Media Consumption, Information Redundancy, Unfollowing,

Twitter.

 

标题:Information Overload, Similarity, and Redundancy: Unsubscribing Information Sources on Twitter

作者:Hai Liang;King-wa Fu

来源:Journal of Computer-Mediated Communication

下载:Liang_et_al-2016-Journal_of_Computer-Mediated_Communication


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