21. A non-transitory computer readable medium comprising a plurality of instructions for identifying a relevant conversation, the plurality of instructions, when executed by a computer processor, comprising functionality to: identify a conversation graph comprising identifiers of a plurality of messages posted by a plurality of authoring accounts; identify a plurality of relevance scores, wherein each of the plurality of relevance scores corresponds to an authoring account of the plurality of authoring accounts; apply a first relevance filter to the conversation graph in order to modify the plurality of relevance scores; apply, after applying the first relevance filter, a second relevance filter to the conversation graph in order to further modify the plurality of relevance scores; select, based on the plurality of relevance scores and after applying the second relevance filter, a subset of messages of the conversation graph for inclusion in the relevant conversation; and provide at least a portion of the relevant conversation to a client device.
25. The non-transitory computer readable medium of claim 21 , wherein applying the first relevance filter comprises: identifying a root message of the conversation graph; designating an authoring account of the root message as being blessed; iteratively designating, among the plurality of authoring accounts, authoring accounts of messages replied to by blessed authoring accounts as being blessed; and increasing the relevance scores of messages authored by blessed authoring accounts.