What Contributes to a Crowdfunding Campaign's Success? Evidence and Analyses from GoFundMe Data

January 15, 2020 Β· Declared Dead Β· πŸ› Journal of Social Computing

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Authors Xupin Zhang, Hanjia Lyu, Jiebo Luo arXiv ID 2001.05446 Category cs.SI: Social & Info Networks Citations 39 Venue Journal of Social Computing Last Checked 6 months ago
Abstract
Researchers have attempted to measure the success of crowdfunding campaigns using a variety of determinants, such as the descriptions of the crowdfunding campaigns, the amount of funding goals, and crowdfunding project characteristics. Although many successful determinants have been reported in the literature, it remains unclear whether the cover photo and the text in the title and description could be combined in a fusion classifier to better predict the crowdfunding campaign's success. In this work, we focus on the performance of the crowdfunding campaigns on GoFundMe across a wide variety of funding categories. We analyze the attributes available at the launch of the campaign and identify attributes that are important for each category of the campaigns. Furthermore, we develop a fusion classifier based on the random forest that significantly improves the prediction result, thus suggesting effective ways to make a campaign successful.
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