Value and Misinformation in Collaborative Investing Platforms

摘要

It is often difficult to separate the highly capable "experts" from the average worker in crowdsourced systems. This is especially true for challenge application domains that require extensive domain knowledge. The problem of stock analysis is one such domain, where even the highly paid, well-educated domain experts are prone to make mistakes. As an extremely challenging problem space, the "wisdom of the crowds" property that many crowdsourced applications rely on may not hold.