In this paper, the authors intend to answer the question “what set of features determine a project’s success?”. They begin by studying the dynamics of Kickstarter, a popular reward-based crowdfunding platform, and the impact of social networks on this platform. Contrary to previous studies, their analysis is not restricted to project-based features alone; instead, they expand the features into four different categories: temporal traits, personal traits, geo-location traits, and network traits. Using a comprehensive dataset of 18K projects and 116K tweets, they provide several unique insights about these features and their effects on the success of Kickstarter projects. Based on these insights, they build a supervised learning framework to learn a model that can recommend a set of investors to Kickstarter projects.
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