The document discusses different types of social media streams and how their structures and emerging semantics are influenced by the type of stream aggregation. It presents a network-theoretic model of social awareness streams and analyzes hashtag streams, user list streams, and user directory streams on Twitter. Preliminary results show that hashtag streams demonstrate more robust latent conceptual structures than user list streams. Stream aggregation type affects both structural properties and emerging semantics.