19. A machine-readable storage medium comprising instructions stored therein, which when executed by processors, cause the processors to perform operations comprising: determining content that identifies an event anticipated to occur at a future time; determining that a length of time, during which interactions with respect to the content occur, exceeds a predetermined trend time; identifying a content trend topic associated with the event that is anticipated to occur at the future time, the content trend topic being identified based on the length of time, during which the interactions with respect to the content occur, exceeding the predetermined trend time; analyzing content items of the determined content that is shared on a social network to determine whether the content items meet a predetermined relevance threshold for the identified content trend topic; associating the identified content trend topic with the content items that meet the predetermined relevance threshold by marking the content items with metadata corresponding to the identified content trend topic; clustering the content items associated with the identified content trend topic; determining whether the content trend topic has occurred based on analyzing at least one of the content items selected for display to a user of the social network; and provisioning the clustered content items to the user of the social network when the content trend topic is determined to have occurred.
19. A machine-readable storage medium comprising instructions stored therein, which when executed by processors, cause the processors to perform operations comprising: determining content that identifies an event anticipated to occur at a future time; determining that a length of time, during which interactions with respect to the content occur, exceeds a predetermined trend time; identifying a content trend topic associated with the event that is anticipated to occur at the future time, the content trend topic being identified based on the length of time, during which the interactions with respect to the content occur, exceeding the predetermined trend time; analyzing content items of the determined content that is shared on a social network to determine whether the content items meet a predetermined relevance threshold for the identified content trend topic; associating the identified content trend topic with the content items that meet the predetermined relevance threshold by marking the content items with metadata corresponding to the identified content trend topic; clustering the content items associated with the identified content trend topic; determining whether the content trend topic has occurred based on analyzing at least one of the content items selected for display to a user of the social network; and provisioning the clustered content items to the user of the social network when the content trend topic is determined to have occurred. 20. The machine-readable medium of claim 19 , wherein the content items comprise at least one of text entry, video clip, audio clip, web articles, or location information of one or more users of the social network.