poster

Crowdfunding support tools: predicting success & failure

Authors:

Michael D. Greenberg,

Bryan Pardo,

Karthic Hariharan,

Elizabeth GerberAuthors Info & Claims

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

Pages 1815 - 1820

https://doi.org/10.1145/2468356.2468682

Published: 27 April 2013 Publication History

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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.

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Prasobpiboon SChandrachai ATriukose SRatanabanchuen R(2024)Innovative Reward-Based Crowdfunding Decision ModelInternational Journal of E-Entrepreneurship and Innovation10.4018/IJEEI.34998314:1(1-26)Online publication date: 17-Sep-2024
https://dl.acm.org/doi/10.4018/IJEEI.349983
Zewdu A(2024)The Reward-Based Crowdfunding: Determinants of Backers’ Repeat Entrepreneurial Project FinancingSSRN Electronic Journal10.2139/ssrn.4832384Online publication date: 2024
https://doi.org/10.2139/ssrn.4832384
Telles RGoes WFerreira GZenke AFerraro R(2024)Understanding crowdfunding as collaborative networks for startups: A research agendaREGEPE Entrepreneurship and Small Business Journal10.14211/regepe.esbj.e2581Online publication date: 27-Sep-2024
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Index Terms

Crowdfunding support tools: predicting success & failure
1. Computing methodologies
  1. Machine learning

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Information & Contributors

Information

Published In

CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems

April 2013

3360 pages

ISBN:9781450319522

DOI:10.1145/2468356

General Chair:
Wendy E. Mackay
INRIA
,
Program Chairs:
Stephen Brewster
Glasgow University
,
Susanne Bødker
University of Aarhus

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 April 2013

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CHI '13

Sponsor:

SIGCHI

CHI '13: CHI Conference on Human Factors in Computing Systems

April 27 - May 2, 2013

Paris, France

Acceptance Rates

CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

Sponsor:
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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

View all

Prasobpiboon SChandrachai ATriukose SRatanabanchuen R(2024)Innovative Reward-Based Crowdfunding Decision ModelInternational Journal of E-Entrepreneurship and Innovation10.4018/IJEEI.34998314:1(1-26)Online publication date: 17-Sep-2024
https://dl.acm.org/doi/10.4018/IJEEI.349983
Zewdu A(2024)The Reward-Based Crowdfunding: Determinants of Backers’ Repeat Entrepreneurial Project FinancingSSRN Electronic Journal10.2139/ssrn.4832384Online publication date: 2024
https://doi.org/10.2139/ssrn.4832384
Telles RGoes WFerreira GZenke AFerraro R(2024)Understanding crowdfunding as collaborative networks for startups: A research agendaREGEPE Entrepreneurship and Small Business Journal10.14211/regepe.esbj.e2581Online publication date: 27-Sep-2024
https://doi.org/10.14211/regepe.esbj.e2581
Telles RGoes WFerreira GZenke AFerraro R(2024)Compreensão do crowdfunding como redes colaborativas para startups: Uma agenda de pesquisaREGEPE Entrepreneurship and Small Business Journal10.14211/regepe.esbj.e2416Online publication date: 27-Sep-2024
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Nayer DRosenboim MMalul M(2024)The Two Sides of Crowdfunding Success: Attributes and Motivations of Backers and Entrepreneurs—Evidence from IsraelThe Journal of Entrepreneurship10.1177/0971355724123391933:1(155-182)Online publication date: 7-Mar-2024
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Wu YZhang MShen YLiu NLi Y(2024)How Do Project Updates Influence Fundraising on Online Medical Crowdfunding Platforms? Examining the Dynamics of Content UpdatesIEEE Transactions on Engineering Management10.1109/TEM.2023.332166471(9135-9149)Online publication date: 2024
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Liu ZHu S(2024)Predicting the fundraising performance of environmental crowdfunding projectsInformation Processing and Management: an International Journal10.1016/j.ipm.2023.10358761:2Online publication date: 1-Mar-2024
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