How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising

Authors

  • Junjie Huang CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Sciences, Beijing, China
  • Huawei Shen CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
  • Qi Cao CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Sciences, Beijing, China
  • Li Cai Beijing Zongqing Xiangqian Science and Technology Co Ltd, Beijing, China
  • Xueqi Cheng CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Keywords:

New social media applications; interfaces; interaction techniques, Qualitative and quantitative studies of social media, Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health

Abstract

While online medical crowdfunding achieved tremendous success, quantitative study about whether and how medical crowdfunding helps people remains little explored. In this paper, we empirically study how online medical crowdfunding helps people using more than 27,000 fundraising cases in Waterdrop Fundraising, one of the most popular online medical crowdfunding platforms in China. We find that the amount of money obtained by fundraisers is broadly distributed, i.e., a majority of lowly donated cases coexist with a handful of very successful cases. We further investigate the factors that potentially correlate with the success of medical fundraising cases. Profile information of fundraising cases, e.g., geographic information of fundraisers, affects the donated amounts, since detailed description may increase the credibility of a fundraising case. One prominent finding lies in the effect of social network on the success of fundraising cases: the spread of fundraising information along social network is a key factor of fundraising success, and the social capital of fundraisers play an important role in fundraising. Finally, we conduct prediction of donations using machine learning models, verifying the effect of potential factors on the success of medical crowdfunding. Altogether, this work presents a data-driven view of medical fundraising on the web and opens a door to understanding medical crowdfunding.

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Published

2021-05-22

How to Cite

Huang, J., Shen, H., Cao, Q., Cai, L., & Cheng, X. (2021). How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 220-229. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/18055