Social filtering uses social networks and gestures to present the most important content to users at the right time. It recognizes that people in a user's social network act as filters to determine what the user should pay attention to. While Twitter is like an RSS reader, it can be overwhelming due to the speed of the stream and lack of organization. Instead, content should be prioritized and time-shifted based on factors like how recent it is, how popular it is within a user's network, and who shared it, as relevance is highly personal. The level of influence a connection has is determined by a user's responses to their recommendations, and influence rankings can then be used to determine what content is most relevant.