The Journal of Machine Learning Research
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
Crowdfunding support tools: predicting success & failure
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Launch hard or go home!: predicting the success of kickstarter campaigns
Proceedings of the first ACM conference on Online social networks
The language that gets people to give: phrases that predict success on kickstarter
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Understanding the role of community in crowdfunding work
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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To bring their innovative ideas to market, those embarking in new ventures have to raise money, and, to do so, they have often resorted to banks and venture capitalists. Nowadays, they have an additional option: that of crowdfunding. The name refers to the idea that funds come from a network of people on the Internet who are passionate about supporting others' projects. One of the most popular crowdfunding sites is Kickstarter. In it, creators post descriptions of their projects and advertise them on social media sites (mainly Twitter), while investors look for projects to support. The most common reason for project failure is the inability of founders to connect with a sufficient number of investors, and that is mainly because hitherto there has not been any automatic way of matching creators and investors. We thus set out to propose different ways of recommending investors found on Twitter for specific Kickstarter projects. We do so by conducting hypothesis-driven analyses of pledging behavior and translate the corresponding findings into different recommendation strategies. The best strategy achieves, on average, 84% of accuracy in predicting a list of potential investors' Twitter accounts for any given project. Our findings also produced key insights about the whys and wherefores of investors deciding to support innovative efforts.