Charity Crowdfunding

Charity crowdfunding, the practice of raising funds for charitable causes via online platforms, is increasingly studied to understand its success factors and optimize fundraising outcomes. Research employs machine learning models, including random forests and multinomial logit models, along with techniques like Latent Dirichlet Allocation (LDA) for topic modeling of campaign descriptions and image analysis to identify key predictors of campaign success, such as textual features, visual elements, and incentive structures. These analyses aim to improve fundraising strategies for charities and enhance the efficiency of crowdfunding platforms. The findings have implications for both non-profit organizations seeking funding and the design of more effective crowdfunding platforms.