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Intension Analysis of User News Sharing in Social Media

In: Liss 2014

Author

Listed:
  • Luyi Sui

    (Beijing Jiaotong University)

  • Xinsheng Ke

    (Beijing Jiaotong University)

Abstract

Recent researches indicate that individuals can participate in news production and diffusion globally by sharing in social media. Social media is progressively becoming a news source with increasing social, economic and political importance. However the relevant analysis about factors influencing user sharing intension remains limited. Developing from the uses and gratifications and social cognitive theories, this research focusing on the influencing effect of critical factors on user news sharing, the factors are information seeking, socializing, entertainment seeking, reputation seeking and prior social media using experience. A survey was explored and administered to 203 students in local universities and the data was processed by structural equation modeling. The result revealed that information seeking, reputation seeking and socializing were significant determinants of news sharing intention. And prior experience was more likely to influence users to share news in social media. Implications and directions for future work are discussed.

Suggested Citation

  • Luyi Sui & Xinsheng Ke, 2015. "Intension Analysis of User News Sharing in Social Media," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 681-687, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_98
    DOI: 10.1007/978-3-662-43871-8_98
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    Cited by:

    1. Sheikh, Muhammad Ammad & Mumtaz, Talha & Sohail, Nabeel & Ahmed, Bilal & Noor, Zain, 2021. "Fake News Acceptance by Demographics and Culture On Social Media," MPRA Paper 108934, University Library of Munich, Germany.
    2. Costas Milas & Theodore Panagiotidis & Theologos Dergiades, 2021. "Does It Matter Where You Search? Twitter versus Traditional News Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(7), pages 1757-1795, October.
    3. Liu, Jiaqi & Liu, Jicai & Bu, Zehui & Zhou, Yining & He, Peifen, 2022. "Path analysis of influencing government's excessive behavior in PPP project: Based on field dynamic theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 522-540.

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