Network Ties, Reputation, and the Financing of New Ventures
Management Science
Expressing emotion in text-based communication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective
Information Systems Research
ManyEyes: a Site for Visualization at Internet Scale
IEEE Transactions on Visualization and Computer Graphics
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
The Word Tree, an Interactive Visual Concordance
IEEE Transactions on Visualization and Computer Graphics
Phrases that signal workplace hierarchy
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Reciprocity in effort to personalize: examining perceived effort as a signal for quality
Proceedings of the 14th Annual International Conference on Electronic Commerce
Understanding crowdfunding work: implications for support tools
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Crowdfunding support tools: predicting success & failure
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Crowdfunding inside the enterprise: employee-initiatives for innovation and collaboration
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommending investors for crowdfunding projects
Proceedings of the 23rd international conference on World wide web
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Crowdfunding sites like Kickstarter--where entrepreneurs and artists look to the internet for funding--have quickly risen to prominence. However, we know very little about the factors driving the 'crowd' to take projects to their funding goal. In this paper we explore the factors which lead to successfully funding a crowdfunding project. We study a corpus of 45K crowdfunded projects, analyzing 9M phrases and 59 other variables commonly present on crowdfunding sites. The language used in the project has surprising predictive power accounting for 58.56% of the variance around successful funding. A closer look at the phrases shows they exhibit general persuasion principles. For example, also receive two reflects the principle of Reciprocity and is one of the top predictors of successful funding. We conclude this paper by announcing the release of the predictive phrases along with the control variables as a public dataset, hoping that our work can enable new features on crowdfunding sites--tools to help both backers and project creators make the best use of their time and money.