• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

量化在线捐赠中的内生性。

Quantifying the Endogeneity in Online Donations.

作者信息

Wang Peng, Li Jinyi, Ma Yinjie, Jiang Zhiqiang

机构信息

School of Business, East China University of Science and Technology, Shanghai 200237, China.

Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China.

出版信息

Entropy (Basel). 2021 Dec 11;23(12):1667. doi: 10.3390/e23121667.

DOI:10.3390/e23121667
PMID:34945973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8700746/
Abstract

Charitable crowdfunding provides a new channel for people and families suffering from unforeseen events, such as accidents, severe illness, and so on, to seek help from the public. Thus, finding the key determinants which drive the fundraising process of crowdfunding campaigns is of great importance, especially for those suffering. With a unique data set containing 210,907 crowdfunding projects covering a period from October 2015 to June 2020, from a famous charitable crowdfunding platform, specifically Qingsong Chou, we will reveal how many online donations are due to endogeneity, referring to the positive feedback process of attracting more people to donate through broadcasting campaigns in social networks by donors. For this aim, we calibrate three different Hawkes processes to the event data of online donations for each crowdfunding campaign on each day, which allows us to estimate the branching ratio, a measure of endogeneity. It is found that the online fundraising process works in a sub-critical state and nearly 70-90% of the online donations are endogenous. Furthermore, even though the fundraising amount, number of donations, and number of donors decrease rapidly after the crowdfunding project is created, the measure of endogeneity remains stable during the entire lifetime of crowdfunding projects. Our results not only deepen our understanding of online fundraising dynamics but also provide a quantitative framework to disentangle the endogenous and exogenous dynamics in complex systems.

摘要

慈善众筹为遭遇意外事件(如事故、重病等)的个人和家庭提供了一个向公众寻求帮助的新渠道。因此,找到推动众筹活动筹款过程的关键决定因素至关重要,尤其是对那些身处困境的人而言。我们从一个著名的慈善众筹平台,即轻松筹,获取了一个独特的数据集,其中包含2015年10月至2020年6月期间的210,907个众筹项目,我们将揭示有多少在线捐赠是由内生性导致的,内生性指的是捐赠者通过在社交网络中进行宣传活动吸引更多人捐赠的正反馈过程。为此,我们针对每天每个众筹活动的在线捐赠事件数据校准了三种不同的霍克斯过程,这使我们能够估计分支比率,即一种内生性的度量。研究发现,在线筹款过程处于亚临界状态,近70% - 90%的在线捐赠是内生性的。此外,尽管在众筹项目创建后筹款金额、捐赠次数和捐赠者数量迅速下降,但内生性度量在众筹项目的整个生命周期内保持稳定。我们的研究结果不仅加深了我们对在线筹款动态的理解,还提供了一个定量框架来区分复杂系统中的内生和外生动向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/22f1605aa929/entropy-23-01667-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/1be73e19821e/entropy-23-01667-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/1bfaabbbbb00/entropy-23-01667-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/d9df54364597/entropy-23-01667-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/22f1605aa929/entropy-23-01667-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/1be73e19821e/entropy-23-01667-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/1bfaabbbbb00/entropy-23-01667-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/d9df54364597/entropy-23-01667-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa1/8700746/22f1605aa929/entropy-23-01667-g004.jpg

相似文献

1
Quantifying the Endogeneity in Online Donations.量化在线捐赠中的内生性。
Entropy (Basel). 2021 Dec 11;23(12):1667. doi: 10.3390/e23121667.
2
What Determines the Success of Charitable Crowdfunding Campaigns? Evidence from China During the COVID-19 Pandemic.是什么决定了慈善众筹活动的成功?来自中国新冠疫情期间的证据。
Voluntas. 2023 Jan 30:1-15. doi: 10.1007/s11266-023-00557-z.
3
Understanding the Dimensions of Medical Crowdfunding: A Visual Analytics Approach.理解医疗众筹的维度:一种可视化分析方法。
J Med Internet Res. 2020 Jul 3;22(7):e18813. doi: 10.2196/18813.
4
The role you play, the life you have: Donor retention in online charitable crowdfunding platform.你所扮演的角色,你的生活:在线慈善众筹平台中的捐赠者留存
Decis Support Syst. 2021 Jan;140:113427. doi: 10.1016/j.dss.2020.113427. Epub 2020 Oct 21.
5
Investigating Racial Disparities in Cancer Crowdfunding: A Comprehensive Study of Medical GoFundMe Campaigns.调查癌症众筹中的种族差异:对医疗 GoFundMe 活动的综合研究。
J Med Internet Res. 2023 Dec 12;25:e51089. doi: 10.2196/51089.
6
The Influence of Proportion Dominance and Global Need Perception on Donations.比例优势和全球需求认知对捐赠的影响。
Front Psychol. 2022 Jun 2;13:800867. doi: 10.3389/fpsyg.2022.800867. eCollection 2022.
7
Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org.在线众筹社区中的捐赠者留存:以DonorsChoose.org为例的研究
Proc Int World Wide Web Conf. 2015 May;2015:34-44. doi: 10.1145/2736277.2741120.
8
Positive Sentiment and the Donation Amount: Social Norms in Crowdfunding Donations During the COVID-19 Pandemic.积极情绪与捐赠金额:新冠疫情期间众筹捐赠中的社会规范
Front Psychol. 2022 Feb 21;13:818510. doi: 10.3389/fpsyg.2022.818510. eCollection 2022.
9
Bioethics and the use of social media for medical crowdfunding.生物伦理学与社交媒体在医疗众筹中的应用
BMC Med Ethics. 2020 Oct 6;21(1):96. doi: 10.1186/s12910-020-00521-2.
10
The Success of Cancer Crowdfunding Campaigns: Project and Text Analysis.癌症众筹项目的成功:项目和文本分析。
J Med Internet Res. 2023 Mar 3;25:e44197. doi: 10.2196/44197.

本文引用的文献

1
Impacts of the COVID-19 pandemic on rural America.新冠疫情对美国农村的影响。
Proc Natl Acad Sci U S A. 2021 Jan 5;118(1). doi: 10.1073/pnas.2019378118.
2
Modeling stochastic processes in disease spread across a heterogeneous social system.模拟异质社会系统中疾病传播的随机过程。
Proc Natl Acad Sci U S A. 2019 Jan 8;116(2):401-406. doi: 10.1073/pnas.1801429116. Epub 2018 Dec 26.
3
Modeling foreign exchange market activity around macroeconomic news: Hawkes-process approach.围绕宏观经济新闻对外汇市场活动进行建模:霍克斯过程方法。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jan;91(1):012819. doi: 10.1103/PhysRevE.91.012819. Epub 2015 Jan 26.
4
Quantifying long-term scientific impact.量化长期科学影响力。
Science. 2013 Oct 4;342(6154):127-32. doi: 10.1126/science.1237825.
5
Quantifying reflexivity in financial markets: toward a prediction of flash crashes.量化金融市场中的自反性:迈向对闪电崩盘的预测。
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 May;85(5 Pt 2):056108. doi: 10.1103/PhysRevE.85.056108. Epub 2012 May 9.
6
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks.区分动态网络中基于影响的传播和基于相似性的扩散。
Proc Natl Acad Sci U S A. 2009 Dec 22;106(51):21544-9. doi: 10.1073/pnas.0908800106. Epub 2009 Dec 10.
7
Robust dynamic classes revealed by measuring the response function of a social system.通过测量社会系统的响应函数揭示的稳健动态类别。
Proc Natl Acad Sci U S A. 2008 Oct 14;105(41):15649-53. doi: 10.1073/pnas.0803685105. Epub 2008 Sep 29.
8
"Universal" distribution of interearthquake times explained.地震间隔时间的“普遍”分布得到解释。
Phys Rev Lett. 2006 Aug 18;97(7):078501. doi: 10.1103/PhysRevLett.97.078501. Epub 2006 Aug 16.