Abstract: Articles are identified as potential candidates for inclusion in a newsletter generated for a user. The articles may be identified based on popularity or based on social activities (likes, comments, sharing, etc.) of social connections of the user. The user selects one or more articles for inclusion in the newsletter. The one or more articles may then be parsed and formatted for inclusion in the newsletter. Additional content such as comments and a promotional message may also be added to the newsletter. The newsletter may then be distributed to subscribers, such as by means of email, FACEBOOK MESSENGER or some other messaging system.

Abstract: Example systems and methods are described for aggregating and ranking content from multiple social network sources. In one implementation, a method identifies multiple content items associated with social updates by a user's social relationships in at least one social network. The multiple content items are ranked based on a frequency of social activities related to the content items by the user's social relationships in the social network. A customized content feed is generated for the user based on the ranking of the plurality of content items.

Abstract: Example systems and methods are described for aggregating and ranking content from multiple social network sources. In one implementation, a method identifies multiple content items associated with social updates by a user's social relationships in at least one social network. The multiple content items are ranked based on a frequency of social activities related to the content items by the user's social relationships in the social network. A customized content feed is generated for the user based on the ranking of the plurality of content items.