Predicting Reposting Latency of News Content in Social Media: A Focus on Issue Attention, Temporal Usage Pattern, and Information Redundancy
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員

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摘要Social media platforms are becoming the most popular spaces for users to share, discuss, and further contribute to news dissemination. While an increasing number of studies have investigated the factors that influence user’s news content sharing behavior, few have paid attention to the reposting latency of news content online. Since timeliness is an essential factor for news value and news spreading, late reposting of news content may hinder its diffusion speed in the local network structure and further determine whether the news story will arouse a societal-wide burst of public attention. Reposting activity on social media is also an important type of user feedback behavior to the message received. The speed of the response could also reflect the user’s processing efficiency and capacity. This study aims to examine the possible factors that may influence users’ reposting latency of news content on social media. In doing so, we employed a multilevel regression analysis to examine the impacts of issue attention, temporal fragmentation, and information redundancy. Our findings show an inverted U-shape pattern for the relationship between the audience’s issue attention and reposting speed. We also found that a distributed temporal usage pattern can help shorten reposting time, while information redundancy and information overload increase the reposting latency of news on social media. The findings of this study can contribute to the advanced understanding of news consumption behavior on social media. The conclusions have the potential to help explain and further predict the success of news diffusion.
著者Guan Lu, Liang Hai, Zhu J. H. J.
會議名稱The 69th Annual International Communication Association (ICA) Conference
會議開始日24.05.2019
會議完結日28.05.2019
會議地點Washington D.C.
會議國家/地區美國
出版年份2019
月份5
語言美式英語

上次更新時間 2019-18-06 於 10:24