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What Makes Charitable Crowdfunding Projects Successful: A Research Based on Data Mining and Social Capital Theory

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Parallel and Distributed Computing, Applications and Technologies (PDCAT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 931))

Abstract

The charitable crowdfunding platforms, as a new model for donation, enable fund seekers to solicit funds from the public over the Internet. Despite of the rapid development of crowdfunding platforms, knowledge about charitable crowdfunding remains obscure. Few studies have investigated the determinants of charitable crowdfunding projects’ success. In this paper, we adopt data mining techniques to collect data from ZhongChou platform, an important crowdfunding website in China. The theoretical foundation of our research model is social capital theory. Our question is what factors can affect the success of charitable crowdfunding projects. The findings show that the more structural social capital the fundraisers have, the high success rate the project will achieve. Besides, frequent updates on project progress can attract more supporters and more donation. More comments and more followers can attract more supporters, but have no significant impact on attracting more donation.

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Author information

Authors and Affiliations

  1. Shanghai University, Shanghai, China

    Xizi Wang & Li Wang

Authors
  1. Xizi Wang
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  2. Li Wang
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Corresponding author

Correspondence to Xizi Wang .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    Jong Hyuk Park

  2. School of Computer Science, University of Adelaide, Adelaide, SA, Australia

    Hong Shen

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Korea (Republic of)

    Yunsick Sung

  4. School of ICT, Griffith University, Gold Coast, Australia

    Hui Tian

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Wang, X., Wang, L. (2019). What Makes Charitable Crowdfunding Projects Successful: A Research Based on Data Mining and Social Capital Theory. In: Park, J., Shen, H., Sung, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2018. Communications in Computer and Information Science, vol 931. Springer, Singapore. https://doi.org/10.1007/978-981-13-5907-1_26

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  • DOI: https://doi.org/10.1007/978-981-13-5907-1_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5906-4

  • Online ISBN: 978-981-13-5907-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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