Crowdfunding Support Tools: Predicting Success & Failure

Michael D. Greenberg, Bryan Pardo, Karthic Hariharan, Elizabeth Gerber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

110 Scopus citations

Abstract

Creative individuals increasingly rely on online crowdfunding platforms to crowdsource funding for new ventures. For novice crowdfunding project creators, however, there are few resources to turn to for assistance in the planning of crowdfunding projects. We are building a tool for novice project creators to get feedback on their project designs. One component of this tool is a comparison to existing projects. As such, we have applied a variety of machine learning classifiers to learn the concept of a successful online crowdfunding project at the time of project launch. Currently our classifier can predict with roughly 68% accuracy, whether a project will be successful or not. The classification results will eventually power a prediction segment of the proposed feedback tool. Future work involves turning the results of the machine learning algorithms into human-readable content and integrating this content into the feedback tool.

Original languageEnglish (US)
Title of host publicationCHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems
Subtitle of host publicationChanging Perspectives
EditorsMichel Beaudouin-Lafon, Patrick Baudisch, Wendy E. Mackay
PublisherAssociation for Computing Machinery
Pages1815-1820
Number of pages6
Volume2013-April
ISBN (Electronic)9781450318990
DOIs
StatePublished - Apr 27 2013
Event31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 - Paris, France
Duration: Apr 27 2013May 2 2013

Other

Other31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013
Country/TerritoryFrance
CityParis
Period4/27/135/2/13

Keywords

  • AdaBoost
  • Crowdfunding
  • Crowdsourcing
  • Kickstarter
  • Machine learning
  • Sentiment analysis

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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