A Dynamic and Cooperative Tracking System for Crowdfunding

TL;DR

This paper introduces a real-time, dynamic tracking system for crowdfunding campaigns that estimates success probability and analyzes backer sentiment to improve decision-making.

Contribution

It presents a novel data-driven system that dynamically predicts campaign success and visualizes backer sentiment, addressing limitations of existing crowdfunding platforms.

Findings

System effectively tracks success probability in real-time

Analyzes backer sentiment through review emotion analysis

Provides visual statistics of review sentiments

Abstract

Crowdfunding is an emerging finance platform for creators to fund their efforts by soliciting relatively small contributions from a large number of individuals using the Internet. Due to the unique rules, a campaign succeeds in trading only when it collects adequate funds in a given time. To prevent creators and backers from wasting time and efforts on failing campaigns, dynamically estimating the success probability of a campaign is very important. However, existing crowdfunding systems neither have the mechanism of dynamic predictive tracking, nor provide the real-time campaign status for creators and backers on the platform. To address these issues, we develop a novel system, which contains a dynamic data-driven approach to tracking the success probability and status. We demonstrate the following scenarios using our system. First, users can utilize our system to analyze the emotion of incremental reviews so as to understand backers' perspectives of the campaign in time. Meanwhile, our system visualizes the statistic number of positive and negative reviews. On this basis, our system can dynamically track the success probability of each campaign.