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Complex Contagion of Campaign Donations

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  • Vincent A Traag

Abstract

Money is central in US politics, and most campaign contributions stem from a tiny, wealthy elite. Like other political acts, campaign donations are known to be socially contagious. We study how campaign donations diffuse through a network of more than 50000 elites and examine how connectivity among previous donors reinforces contagion. We find that the diffusion of donations is driven by independent reinforcement contagion: people are more likely to donate when exposed to donors from different social groups than when they are exposed to equally many donors from the same group. Counter-intuitively, being exposed to one side may increase donations to the other side. Although the effect is weak, simultaneous cross-cutting exposure makes donation somewhat less likely. Finally, the independence of donors in the beginning of a campaign predicts the amount of money that is raised throughout a campaign. We theorize that people infer population-wide estimates from their local observations, with elites assessing the viability of candidates, possibly opposing candidates in response to local support. Our findings suggest that theories of complex contagions need refinement and that political campaigns should target multiple communities.

Suggested Citation

  • Vincent A Traag, 2016. "Complex Contagion of Campaign Donations," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-20, April.
  • Handle: RePEc:plo:pone00:0153539
    DOI: 10.1371/journal.pone.0153539
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    Cited by:

    1. James Rockey & Nadia Zakir, 2021. "Power and the money, money and the power: A network analysis of donations from American corporate to political leaders," Discussion Papers 21-03, Department of Economics, University of Birmingham.
    2. Sabique Islam & Sirish Namilae & Richard Prazenica & Dahai Liu, 2020. "Fuel shortages during hurricanes: Epidemiological modeling and optimal control," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-20, April.
    3. Johannes Wachs & Mih'aly Fazekas & J'anos Kert'esz, 2019. "Corruption Risk in Contracting Markets: A Network Science Perspective," Papers 1909.08664, arXiv.org.

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