Abstract: A computer system automatically evaluates the performance of a content generator using content created by the content generator and user and content generator interactions with the content. Specifically, the system analyzes data regarding the content, e.g., a peer-review quality score, and analyzes data regarding user and/or content generator interactions with the content, e.g., website comments regarding the content. In addition, the system considers user and content generator interactions with the content on third-party websites, e.g., the number of Facebook® “likes” or other social media actions. The system applies rules to assign values to various data points (e.g., a value of 0.3 may be assigned for each Facebook® “like” by a user). The rules may also define weighing components to incentivize particular actions. Weighed values are summed to evaluate each content generator. The scores for each content generator may be compared to create a content generator ranking.