期刊文献+

在线内容早期传播的影响因素研究——以微博为例 被引量:2

Research on Influencing Factors of Online Contents' Early Spread——Taking Micro-blogging as an Example
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摘要 随着信息技术快速发展和新媒体的兴起,海量互联网用户对信息的贡献和传播使得在线内容展现出了前所未有的繁荣;然而,在线内容中的大多数在发布后不久便淡出了人们的视线,只有少数内容能够持续传播并成为网络热点,其中的原因尚有待研究和解释。以信息分享和在线内容传播相关理论为基础,通过访谈关注微博新闻消息的用户,识别影响内容早期传播的因素,并抓取相应传播数据进行验证,结果表明,在线内容的初期传播与内容的信息质量有关,同时受发布时在线用户活跃度影响。 The rapid development of IT and rise up of new media has enabled mass user to publish and spread information, which makes online contents flourishing. Only few of these contents, however, could reach continually spread, with others appear and fade rapidly. To explore the mechanism of online content spread, this research proposed interviews of micro-blogging user and analysis of data from a news publishing account of micro-blogging based on theories of communication and information sharing to identify determinants of early spread of online content. The results show that the initial propagation, information quality and content of online content is concerned, at the same time by publishing online user activity influence.
出处 《经济与管理》 CSSCI 2013年第5期85-89,共5页 Economy and Management
基金 国家社科基金重大项目(10&ZD047)
关键词 在线内容 早期传播 信息分享 微博 Online content Early spread Information sharing Micro-blogging
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参考文献17

  • 1LERMAN K,HOGG T. Using ies to Predict Popularity of 19th International Conference 2010 [C]. ACM. a Model of Social Dynam- News; Proceedings of the on World Wide Web,F,.
  • 2WU F,HUBERMAN B A. Novelty and collective atten- tion [J. Proceedings of the National Academy of Sci- ences, 2007,104(45 ) : 17599-601.
  • 3SAHA A,SINDHWANI V. Learning evolving and emerg- ing topics in social media:a dynamic nmf approach with temporal regularization[M]. Proceedings of the fifth ACM international conference on Web search and data mining. Seattle, Washington, USA; ACM. 2012: 693-702.
  • 4刘星星,何婷婷,龚海军,陈龙.网络热点事件发现系统的设计[J].中文信息学报,2008,22(6):80-85. 被引量:30
  • 5吴方照.网络热点话题的挖掘与分析[J].2012,.
  • 6SUNDAR S S. The MAIN Model:A Heuristic Approach to Understanding Technology Effects on Credibility [J. The John D and Catherine T .MacArthur Foundation Se- ries on Digital Media and Learning,2007:73-100.
  • 7SZABO G,HUBERMAN B A. Predicting the Popularity of Online Content [J]. Communications of the ACM, 2010,53(8).
  • 8HA S,AI-IN J. Why Are You Sharing Others" Tweets?: The Impact of Argument Quality and Source Credibility on Information Sharing Behavior [M]. ICIS 2011 Pro- ceedings. 2011.
  • 9AGARWAL N,LIU H,TANG L,et al. Identifying the in- fluential bloggers in a community; proceedings of the Proceedings of the international conference on Web search and web data mining , F, 2008 [ C ]. ACM.
  • 10MARETT K,JOSHI K D. The Decision to Share Infor- mation and Rumors:Examining the Role of Motivation in an Online Discussion Forum [J]. Communications of the Association for Information Systems, 2009,24( 1 ) : 47-68.

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  • 1翟学伟.关系研究的多重立场与理论重构[J].江苏社会科学,2007(3):118-130. 被引量:64
  • 2Bandura, A.Social Learning Theory,1977.
  • 3Vandenberg R J,Lance C E.A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods . 2000
  • 4Nan Wang,Xiao-Liang Shen,Yongqiang Sun.Transition of electronic word-of-mouth services from web to mobile context: A trust transfer perspective[J]. Decision Support Systems . 2012
  • 5Daniel Halpern,Jennifer Gibbs.Social media as a catalyst for online deliberation? Exploring the affordances of Facebook and YouTube for political expression[J]. Computers in Human Behavior . 2012
  • 6Friederike Schultz,Sonja Utz,Anja G?ritz.Is the medium the message? Perceptions of and reactions to crisis communication via twitter, blogs and traditional media[J]. Public Relations Review . 2011 (1)
  • 7Nada Dabbagh,Anastasia Kitsantas.Personal Learning Environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning[J]. The Internet and Higher Education . 2011 (1)
  • 8Kate Crawford.Following you: Disciplines of listening in social media[J]. Continuum . 2009 (4)
  • 9Dan J. Kim,Donald L. Ferrin,H. Raghav Rao.A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents[J]. Decision Support Systems . 2007 (2)
  • 10Andreas I. Nicolaou,D. Harrison McKnight.Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use[J]. Information Systems Research . 2006 (4)

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