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Beyond Words: An Experimental Study of Signaling in Crowdfunding (2206.07210v2)

Published 14 Jun 2022 in cs.HC

Abstract: Increasingly, crowdfunding is transforming financing for many people worldwide. Yet we know relatively little about how, why, and when funding outcomes are impacted by signaling between funders. We conduct two studies of N=500 and N=750 participants involved in crowdfunding to investigate the effect of certain characteristics of ``crowd signals'' on the decision to fund. We find that, under a variety of conditions, contributions of heterogeneous amounts arriving at varying time intervals are significantly more likely to be selected than homogeneous contribution amounts and times. The impact of signaling is strongest among participants who are susceptible to social influence. The effect is remarkably general across different project types, fundraising goals, participant interest in the projects, and participants' altruistic attitudes. Critically, the role of crowd signals in decision-making is typically unrecognized by participants. Our results underscore the fundamental nature of social signaling in crowdfunding, informing strategies for platforms, funders, and project creators.

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References (103)
  1. Ethan Mollick. The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing, 29(1):1–16, 2014.
  2. A guide to scientific crowdfunding. PLoS Biology, 14(2):e1002373, 2016.
  3. Design principles: Crowdfunding as a creativity support tool. In CHI’12 Extended Abstracts on Human Factors in Computing Systems, pages 1601–1606. 2012.
  4. Equity crowdfunding: A new phenomena. Journal of Business Venturing Insights, 5:37 – 49, 2016.
  5. New digital safety net or just more ‘friendfunding’? Institutional analysis of medical crowdfunding in the united states. Information, Communication & Society, 25(8):1151–1175, 2022.
  6. The promise of crowdfunding and american innovation, 2016. Retrieved on October 20, 2022 from https://obamawhitehouse.archives.gov/blog/2016/06/08/promise-crowdfunding-and-american-innovation.
  7. A bibliometric analysis of crowdfunding related research: Current trends and future prospect. In Proceedings of the 3rd International Conference on Crowd Science and Engineering, pages 1–7, 2018.
  8. Learning to fail: Experiencing public failure online through crowdfunding. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’14, pages 581–590, Toronto, Ontario, Canada, April 2014. Association for Computing Machinery.
  9. The Crowdfunding Center. Platforms stats & analytics: Showing period 1st January 2014 - 12th January 2022. Retrieved from https://www.thecrowdfundingcenter.com/data/platforms#platforms_success, 2022.
  10. Enriched social translucence in medical crowdfunding. In Proceedings of the 2020 ACM Designing Interactive Systems Conference, pages 1465–1477, 2020.
  11. Lifting the veil: improving accountability and social transparency in wikipedia with wikidashboard. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1037–1040, 2008.
  12. Eric Gilbert. Designing social translucence over social networks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 2731–2740, 2012.
  13. Expanding explainability: Towards social transparency in ai systems. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pages 1–19, 2021.
  14. Social translucence: an approach to designing systems that support social processes. ACM Transactions on Computer-Human Interaction (TOCHI), 7(1):59–83, 2000.
  15. Social translucence: designing social infrastructures that make collective activity visible. Communications of the ACM, 45(4):40–44, 2002.
  16. Peer to peer lending: The relationship between language features, trustworthiness, and persuasion success. Journal of Applied Communication Research, 39(1):19–37, 2011.
  17. How to ask for a favor: A case study on the success of altruistic requests. In Eighth International AAAI Conference on Weblogs and Social Media, 2014.
  18. The language that gets people to give: Phrases that predict success on kickstarter. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing, pages 49–61, 2014.
  19. Emotional delivery in pro-social crowdfunding success. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, CHI EA ’18, pages 1–6, Montreal QC, Canada, April 2018. Association for Computing Machinery.
  20. Are the life and death of an early-stage venture indeed in the power of the tongue? Lessons from online crowdfunding pitches. Strategic Entrepreneurship Journal, 13(1):3–23, 2019.
  21. The power of positivity? The influence of positive psychological capital language on crowdfunding performance. Journal of Business Venturing, 33(4):470–492, 2018.
  22. Internal social capital and the attraction of early contributions in crowdfunding. Entrepreneurship Theory and Practice, 39(1):75–100, 2015.
  23. The role of social capital in people-to-people lending marketplaces. ICIS 2009 Proceedings, page 29, 2009.
  24. The role of multidimensional social capital in crowdfunding: A comparative study in china and us. Information & Management, 51(4):488–496, 2014.
  25. Show me the money! An analysis of project updates during crowdfunding campaigns. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 591–600, 2014.
  26. The art and science of persuasion: not all crowdfunding campaign videos are the same. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, pages 755–769, 2017.
  27. A field experiment in charitable contribution: The impact of social information on the voluntary provision of public goods. The Economic Journal, 119(540):1422–1439, 2009.
  28. Rational herding in microloan markets. Management Science, 58(5):892–912, 2012.
  29. Dynamics of bidding in a P2P lending service: Effects of herding and predicting loan success. In Proceedings of the 20th International Conference on World Wide Web, pages 547–556. ACM, 2011.
  30. An empirical examination of the antecedents and consequences of contribution patterns in crowd-funded markets. Information Systems Research, 24(3):499–519, 2013.
  31. Harnessing collective intelligence in P2P lending. In Proceedings of the 10th ACM Conference on Web Science, pages 57–64, 2019.
  32. Follow the crowd: Social information and crowdfunding donations in a large field experiment. Journal of Behavioral Public Administration, 3(1), 2020.
  33. Hidden indicators of collective intelligence in crowdfunding. In Proceedings of the ACM Web Conference 2023, WWW ’23, page 3806–3815, New York, NY, USA, 2023. Association for Computing Machinery.
  34. Michael Spence. Signaling in retrospect and the informational structure of markets. American Economic Review, 92(3):434–459, 2002.
  35. Experimental study of inequality and unpredictability in an artificial cultural market. Science, 311(5762):854–856, 2006.
  36. Signaling theory: A review and assessment. Journal of Management, 37(1):39–67, 2011.
  37. Silvio Vismara. Information cascades among investors in equity crowdfunding. Entrepreneurship Theory and Practice, 42(3):467–497, 2018.
  38. Herding in equity crowdfunding. In Finance Meeting Eurofidai-AFFI, Paris, 2019.
  39. Do small funding amounts lead to reverse herding? A field experiment in reward-based crowdfunding. Journal of Business Venturing Insights, 12:e00139, 2019.
  40. Bellwether and the herd? Unpacking the u-shaped relationship between prior funding and subsequent contributions in reward-based crowdfunding. Journal of Business Venturing, 35(2):105934, 2020.
  41. Investor retention in equity crowdfunding. In Proceedings of the 10th ACM Conference on Web Science, pages 343–351, 2019.
  42. Understanding (ir)rational herding online. In Proceedings of The ACM Collective Intelligence Conference, CI ’23, page 79–88, New York, NY, USA, 2023. Association for Computing Machinery.
  43. A multi-platform study of crowd signals associated with successful online fundraising. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1):1–19, 2021.
  44. On the impact of choice architectures on inequality in online donation platforms. In The World Wide Web Conference, pages 2623–2629, 2019.
  45. Choice architecture, 2014. The Behavioral Foundations of Public Policy, pages 428–439.
  46. Detecting platform effects in online discussions. Policy & Internet, 9(4):420–443, 2017.
  47. Content-based Success Prediction of Crowdfunding Campaigns: A Deep Learning Approach. In Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW ’18, pages 193–196, Jersey City, NJ, USA, October 2018. Association for Computing Machinery.
  48. Launch hard or go home! Predicting the success of kickstarter campaigns. In Proceedings of the first ACM Conference on Online Social Networks, pages 177–182, 2013.
  49. Inferring the impacts of social media on crowdfunding. In Proceedings of the 7th ACM International Conference on Web Search and Data Mining, pages 573–582, 2014.
  50. Predicting startup crowdfunding success through longitudinal social engagement analysis. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM ’17, pages 1937–1946, Singapore, Singapore, November 2017. Association for Computing Machinery.
  51. Crowdfunding models: Keep-it-all vs. all-or-nothing. Financial Management, 2015.
  52. The determinants of crowdfunding success: Evidence from technology projects. Procedia-Social and Behavioral Sciences, 181:115–124, 2015.
  53. Sending mixed signals: Multilevel reputation effects in peer-to-peer lending markets. In Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, pages 197–206, 2010.
  54. Signaling in equity crowdfunding. Entrepreneurship Theory and Practice, 39(4):955–980, 2015.
  55. Network vs market relations: The effect of friends in crowdfunding. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, pages 226–233, 2015.
  56. Silvio Vismara. Equity retention and social network theory in equity crowdfunding. Small Business Economics, 46(4):579–590, 2016.
  57. A long-term study of a crowdfunding platform: Predicting project success and fundraising amount. In Proceedings of the 26th ACM Conference on Hypertext & Social Media, pages 211–220, 2015.
  58. Experimental study of crowdfunding cascades: When nothing is better than something. Available at SSRN 2308161, 2013.
  59. Don’t wait! How timing affects coordination of crowdfunding donations. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, pages 547–556, 2015.
  60. Crowdfunding: Geography, social networks, and the timing of investment decisions. Journal of Economics & Management Strategy, 24(2):253–274, 2015.
  61. Silvio Vismara. Information cascades among investors in equity crowdfunding. Entrepreneurship Theory and Practice, 2016.
  62. Silvio Vismara. Signaling to overcome inefficiencies in crowdfunding markets. In The Economics of Crowdfunding, pages 29–56. Springer, 2018.
  63. Measuring bias in consumer lending. The Review of Economic Studies, 88(6):2799–2832, 2021.
  64. Out of control or right on the money? Funder self-efficacy and crowd bias in equity crowdfunding. Journal of Business Venturing, 34(2):348–367, 2019.
  65. Crowdfunding: Motivations and deterrents for participation. ACM Transactions on Computer-Human Interaction (TOCHI), 20(6):34:1–34:32, December 2013.
  66. Encouraging contribution to online communities. Building successful online communities: Evidence-based social design, pages 21–76, 2011.
  67. Why people participate in online political crowdfunding: A civic voluntarism perspective. Telematics and Informatics, 41:168–181, 2019.
  68. Norbert Steigenberger. Why supporters contribute to reward-based crowdfunding. International Journal of Entrepreneurial Behavior & Research, 2017.
  69. Reward-based crowdfunding of entrepreneurial projects: the effect of local altruism and localized social capital on proponents’ success. Small Business Economics, 50(2):307–324, 2018.
  70. Altruism and internal locus of control as determinants of the intention to participate in crowdfunding: The mediating role of trust. Journal of Theoretical and Applied Electronic Commerce Research, 14(3):1–16, 2019.
  71. Understanding the role of community in crowdfunding work. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing, pages 62–74, 2014.
  72. Do social network crowds help fundraising campaigns? Effects of social influence on crowdfunding performance. Journal of Business Research, 122:97–108, 2021.
  73. Crowdfunding creative ideas: The dynamics of project backers. In The Economics of Crowdfunding, pages 151–182. Springer, 2018.
  74. M Spence. Job market signaling. MIT Press, 1973.
  75. Signals in equity-based crowdfunding and risk of failure. Financial Innovation, 7(1):1–30, 2021.
  76. Better together? Signaling interactions in new venture pursuit of initial external capital. Academy of Management Journal, 59(5):1585–1604, 2016.
  77. Are people conditionally cooperative? Evidence from a public goods experiment. Economics Letters, 71(3):397–404, 2001.
  78. When the relatively poor prosper: the underdog effect on charitable donations. Nonprofit and Voluntary Sector Quarterly, 48(1):108–127, 2019.
  79. Rooting for Rocky or Apollo? Underdog narratives and crowdfunding success. ACR North American Advances, 2018.
  80. Brian Duncan. A theory of impact philanthropy. Journal of Public Economics, 88(9-10):2159–2180, 2004.
  81. Rudolf Flesch. Flesch-kincaid readability test. Retrieved October, 26(3):2007, 2007.
  82. The altruistic personality and the self-report altruism scale. Personality and Individual Differences, 2(4):293–302, 1981.
  83. Susceptibility to social influence predicts behavior on facebook. PloS One, 15(3):e0229337, 2020.
  84. Measurement of consumer susceptibility to interpersonal influence. Journal of Consumer Research, 15(4):473–481, 1989.
  85. Mutually adaptive effects of interpersonal communication. Journal of Marketing Research, 8(4):449–454, 1971.
  86. Comparing internet experiences and prosociality in Amazon Mechanical Turk and population-based survey samples. Socius, 6:2378023119889834, 2020.
  87. Do the online activities of Amazon Mechanical Turk workers mirror those of the general population? A comparison of two survey samples. International Journal of Communication, 15:16, 2021.
  88. Roy Morejon. Crowdfunding demographics and Kickstarter project statistics. Art of the Kickstart Blog, 2016. https://artofthekickstart.com/crowdfunding-demographics-kickstarter-project-statistics/.
  89. Evaluating online labor markets for experimental research: Amazon.com’s Mechanical Turk. Political Analysis, 20(3):351–368, 2012.
  90. Data collection in a flat world: The strengths and weaknesses of mechanical turk samples. Journal of Behavioral Decision Making, 26(3):213–224, 2013.
  91. Running experiments on Amazon Mechanical Turk. Judgment and Decision Making, 5(5):411–419, 2010.
  92. Reputation as a sufficient condition for data quality on Amazon Mechanical Turk. Behavior Research Methods, 46(4):1023–1031, 2014.
  93. Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2):77–101, 2006.
  94. Instructional manipulation checks: A longitudinal analysis with implications for mturk. International Journal of Research in Marketing, 35(2):258–269, 2018.
  95. Attentive turkers: Mturk participants perform better on online attention checks than do subject pool participants. Behavior Research Methods, 48(1):400–407, 2016.
  96. Instructional manipulation checks: Detecting satisficing to increase statistical power. Journal of Experimental Social Psychology, 45(4):867–872, 2009.
  97. Implications of warm-glow effect and risk aversion in reward-based crowdfunding. Transportation Research Part E: Logistics and Transportation Review, 160:102681, 2022.
  98. Public goods experiments without confidentiality: A glimpse into fund-raising. Journal of Public Economics, 88(7-8):1605–1623, 2004.
  99. Adriaan R Soetevent. Anonymity in giving in a natural context—a field experiment in 30 churches. Journal of Public Economics, 89(11-12):2301–2323, 2005.
  100. National campaigns for charitable causes: A literature review. Nonprofit and Voluntary Sector Quarterly, 42(2):219–240, 2013.
  101. The compoundness and sequentiality of digital inequality. International Journal of Communication, 11:452–473, 2017.
  102. Identifying platform effects in social media data. In Tenth International AAAI Conference on Web and Social Media, 2016.
  103. Internet skills and why they matter. Society and the internet: How networks of information and communication are changing our lives, 109, 2019.

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