Abstract: In order to acquire content about an event, a collection group of users of a social network may be dynamically identified. This collection group of users may be relevant to and/or proximate to the event. For example, the collection group of users may be identified based on their user or member profiles and characteristics of the event. Then, recommendations may be provided to the collection group of the users to acquire content, such as an image or a video associated with the event. Moreover, acquired content may be subsequently presented to the users of the social network. In addition, the behaviors of the users in the social network (such as a number of views of the content and/or a duration of the views) may be used to determine the event characteristics that are the most interesting to the users, thereby improving future content acquisition.

Abstract: In order to obtain comments about video content (such as a posted video), a subset of users of a social network may be dynamically identified. This subset of users may be relevant to or may have expertise about the video content. For example, the subset of users may be identified based on their user or member profiles and characteristics of the video content. Then, requests may be iteratively provided to the subset of the users to encourage them to comment on the video content, as well as previous comments from the subset of the users. After editing the comments (which may include reordering the comments that are received at different times), the edited comments may be subsequently presented to the users of the social network.