Charitable crowdfunding has grown in popularity as a means of raising funds, and has played an essential role in fighting against COVID-19. However, the growth of charitable crowdfunding increases the risk of fraud on platforms. Platform’s fraud response mechanism has a disadvantage of lagging, and the low threshold makes it difficult for platforms to detect and prevent fraud. Based on the extraction of explicit and implicit causality, this study constructs a causality-based event evolution graph of fraud events in charitable crowdfunding, which can be used as the logical knowledge base of fraud events in charitable crowdfunding, and provides a basis for the platforms to identify and prevent fraud events in advance. Furthermore, this graph depicts the development process and evolution characteristic of fraud events. According to the graph, our study finds that fraud incidents are self-related, and the evolution of fraud events involves a variety of subjects.
Xu, Chen and Li, Shanshan, "A Causality-based Event Evolution Graph of Fraud in Charitable Crowdfunding" (2022). PACIS 2022 Proceedings. 139.
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