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Examining charitable giving in real-world online donations

Author

Listed:
  • Matthew R. Sisco

    (Columbia University)

  • Elke U. Weber

    (Woodrow Wilson School
    Princeton University)

Abstract

The current study uses big data to study prosocial behavior by analyzing donations made on the GoFundMe platform. In a dataset of more than $44 million in online donations, we find that 21% were made while opting to be anonymous to the public, with survey results indicating that 11% of these anonymous donations (2.3% of all donations) are not attributable to any egoistic goal. Additionally, we find that donors gave significantly more to recipients who had the same last name as them. We find evidence that men and women donated more when more donors of the opposite sex were visible on the screen at the time of donating. Our results suggest that men and women were both significantly affected by the average donation amounts visible at the time of their decisions, and men were influenced more. We find that women expressed significantly more empathy than men in messages accompanying their donations.

Suggested Citation

  • Matthew R. Sisco & Elke U. Weber, 2019. "Examining charitable giving in real-world online donations," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11852-z
    DOI: 10.1038/s41467-019-11852-z
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    Cited by:

    1. Ehrlich, David & Szech, Nora, 2022. "How to start a grassroots movement," Working Paper Series in Economics 157, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    2. Ling, Leng & Luo, Danglun & Li, Xiaoxia & Pan, Xintong, 2022. "Looking good by doing good: CEO attractiveness and corporate philanthropy11We thank the co-editor (Suqin Ge) and the referees for many valuable comments and suggestions. We thank Huimin Li and Jing Sh," China Economic Review, Elsevier, vol. 76(C).
    3. Jiang, Zhi-Qiang & Wang, Peng & Ma, Jun-Chao & Zhu, Peican & Han, Zhen & Podobnik, Boris & Stanley, H. Eugene & Zhou, Wei-Xing & Alfaro-Bittner, Karin & Boccaletti, Stefano, 2023. "Unraveling the effects of network, direct and indirect reciprocity in online societies," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    4. Ma, Yin-Jie & Jiang, Zhi-Qiang & Podobnik, Boris, 2022. "Predictability of players’ actions as a mechanism to boost cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).

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