👉 The Clusters Project, initiated by Facebook (now Meta) in 2016, aimed to enhance the platform's ability to understand and manage user-generated content by grouping similar posts into clusters. This approach was designed to improve content moderation, reduce spam, and enhance user experience by automatically identifying and categorizing posts that share common themes or topics. By clustering content, Facebook sought to streamline its content review processes, making it easier for human moderators to focus on more complex or sensitive issues. The project involved developing algorithms to analyze text, images, and videos, enabling Facebook to create clusters that reflected the nuanced relationships between different pieces of content.
