Real-time usage & performance tracking for news agency content (Round 6)
News agencies provide continuous streams of various content (text, images and videos) to media and other publishers. However, there is no easy method to track the usage & performance of their content. This project aims to provide an automated solution for that.
News agency content is used widely and is often edited or used as a source material making it difficult to track or find. Innovative matching algorithms will make it clearer where the content originated. Just finding is not enough though, agencies also often lack a clear picture of how that content performs. This tool combines various techniques to offer a real-time dashboard and historical reporting engine on content performance.