Jinwook Chung
ABSTRACT
Crowdfunding platforms have become important sites where people can create projects to seek funds toward turning their ideas into products, and back someone else's projects. As news media have reported successfully funded projects (e.g., Pebble Time, Coolest Cooler), more people have joined crowdfunding platforms and launched projects. But in spite of rapid growth of the number of users and projects, a project success rate at large has been decreasing because of launching projects without enough preparation and experience. To solve the problem, in this paper we (i) collect the largest datasets from Kickstarter, consisting of all project profiles, corresponding user profiles, projects' temporal data and users' social media information; (ii) analyze characteristics of successful projects, behaviors of users and understand dynamics of the crowdfunding platform; (iii) propose novel statistical approaches to predict whether a project will be successful and a range of expected pledged money of the project; and (iv) develop predictive models and evaluate performance of the models. Our experimental results show that the predictive models can effectively predict project success and a range of expected pledged money.
- N-Gram-Based Text Categorization, 1994.Google Scholar
- Jumpstart our business startups act. http://www.gpo.gov/fdsys/pkg/BILLS-112hr3606enr/pdf/BILLS-112hr3606enr.pdf, 2012.Google Scholar
- What Motivates People to Invest in Crowdfunding Projects? Recommendation using Heterogeneous Traits in Kickstarter, 2015.Google Scholar
- Alexa. kickstarter.com site overview - alexa. http://www.alexa.com/siteinfo/kickstarter.com, March 2015.Google Scholar
- P. Belleflamme, T. Lambert, and A. Schwienbacher. Crowdfunding: Tapping the Right Crowd. SSRN Electronic Journal, 2012.Google ScholarCross Ref
- Economist. The new thundering herd. http://www.economist.com/node/21556973, 2012.Google Scholar
- V. Etter, M. Grossglauser, and P. Thiran. Launch hard or go home!: Predicting the success of kickstarter campaigns. In COSN, 2013. Google ScholarDigital Library
- E. M. Gerber and J. Hui. Crowdfunding: Motivations and deterrents for participation. ACM Trans. Comput.-Hum. Interact., 20(6), Dec. 2013. Google ScholarDigital Library
- E. M. Gerber, J. S. Hui, and P.-Y. Kuo. Crowdfunding: Why people are motivated to post and fund projects on crowdfunding platforms. In CSCW, 2012.Google Scholar
- M. D. Greenberg, B. Pardo, K. Hariharan, and E. Gerber. Crowdfunding support tools: Predicting success & failure. In CHI Extended Abstracts, 2013. Google ScholarDigital Library
- M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten. The weka data mining software: An update. SIGKDD Explor. Newsl., 11(1):10--18, Nov. 2009. Google ScholarDigital Library
- J. S. Hui, M. D. Greenberg, and E. M. Gerber. Understanding the role of community in crowdfunding work. In CSCW, 2014. Google ScholarDigital Library
- V. Kuppuswamy and B. L. Bayus. Crowdfunding Creative Ideas: The Dynamics of Project Backers in Kickstarter. Social Science Research Network Working Paper Series, Mar. 2013.Google ScholarCross Ref
- K. Lee, J. Caverlee, and S. Webb. Uncovering social spammers: Social honeypots achine learning. In SIGIR, 2010. Google ScholarDigital Library
- C.-T. Lu, S. Xie, X. Kong, and P. S. Yu. Inferring the impacts of social media on crowdfunding. In WSDM, 2014. Google ScholarDigital Library
- J. B. Mariòo, R. E. Banchs, J. M. Crego, A. de Gispert, P. Lambert, J. A. R. Fonollosa, and M. R. Costa-jussà. N-gram-based machine translation. Comput. Linguist., 32(4):527--549, Dec. 2006. Google ScholarDigital Library
- H. G. McLaughlin. SMOG grading - a new readability formula. Journal of Reading, pages 639--646, May 1969.Google Scholar
- T. Mitra and E. Gilbert. The language that gets people to give: Phrases that predict success on kickstarter. In CSCW, 2014. Google ScholarDigital Library
- E. Mollick. The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing, 29(1):1--16, 2014.Google ScholarCross Ref
- J. Pennebaker, M. Francis, and R. Booth. Linguistic Inquiry and Word Count. Erlbaum Publishers, 2001.Google Scholar
- A. E. Roth, J. K. Murnighan, and F. Schoumaker. The deadline effect in bargaining: Some experimental evidence. The American Economic Review, pages 806--823, 1988.Google Scholar
- A. Xu, X. Yang, H. Rao, W.-T. Fu, S.-W. Huang, and B. P. Bailey. Show me the money!: An analysis of project updates during crowdfunding campaigns. In CHI, pages 591--600. ACM, 2014. Google ScholarDigital Library
- Y. Yang and J. O. Pedersen. A comparative study on feature selection in text categorization. In ICML, 1997. Google ScholarDigital Library
- M. Yildiz. Optimism, deadline effect, and stochastic deadlines. 2004.Google Scholar
- N. Zipkin. The 10 most funded kickstarter campaigns ever. http://www.entrepreneur.com/article/235313, March 2015.Google Scholar
Index Terms
- A Long-Term Study of a Crowdfunding Platform: Predicting Project Success and Fundraising Amount
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