What is one of the main challenges associated with crowdsourcing?

One of the main challenges associated with crowdsourcing is ensuring data quality and reliability. Crowdsourcing often involves gathering information or content from a large group of people, which can lead to variability in the quality of submissions. Since contributors come from diverse backgrounds and may have different levels of expertise, the information provided may be inconsistent or inaccurate. This variability poses a significant challenge for organizations that rely on crowdsourced data, as they must implement measures to evaluate and verify the contributions to maintain overall quality. By addressing these issues, organizations can improve the reliability of the data gathered through crowdsourcing efforts.

In contrast, operational costs tend to be lower with crowdsourcing as it distributes tasks among many contributors, while restricting participant engagement is often contrary to the goals of crowdsourcing, which typically seeks to involve as many participants as possible. Limited scalability is also generally not an issue with crowdsourcing since it thrives on the ability to scale with a larger number of contributors engaged in the tasks.