Analyzing and predicting news popularity on Twitter. Issue 6 (December 2015)

• Record Type: Journal Article
• Authors: Wu, Bo; Shen, Haiying
• Is Part Of: International journal of information management. Volume 35:Issue 6(2015:Dec.)
• Page Start: 702
• Page End: 711
• Publication Date: 2015-12
• Subjects: Social sciences -- Information services -- Periodicals; Social sciences -- Research -- Periodicals; Information science -- Periodicals; Management information systems -- Periodicals; Knowledge management -- Periodicals; Sciences sociales -- Documentation, Services de -- Périodiques; Sciences sociales -- Recherche -- Périodiques; Sciences de l'information -- Périodiques; Systèmes d'information de gestion -- Périodiques; Information science; Management information systems; Social sciences -- Information services; Social sciences -- Research; Periodicals; Electronic journals; 025.52068
• DOI: 10.1016/j.ijinfomgt.2015.07.003
• Languages: English
• ISSNs: 0268-4012

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title id="sect0005">Highlights</title> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">The spreading of news published by popular news agencies is more time sensitive than general retweets.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">Retweets of the news burst in few seconds, while general retweets burst in a relatively long time.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">No previous works focus on the specific type of tweets (news) and news agencies.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">We study the mechanism behind how news is spreading on news agencies in Twitter.</p> </list-item> </list> </p> </sec> </abstract>