“Data network effects” are often invoked as a path for networks to solve relevance and overcrowding issues that emerge over time. The signals are a combination of individual actions but are also based on algorithmic models built on the combined behaviors of hundreds of millions of users. More users means more behavioral data, which in turn allows for more fine-grained content recommendations—a
