6. A method according to claim 1 , wherein attention data comprises metadata regarding the one or more individual subscribers' actions, including an amount of time spent by the one or more individual subscribers reading the selected article, as reflected by an amount of time the selected article has been displayed by a reader program.
1. A computer-implemented method comprising: accessing a list of individual subscribers to an Internet digital content feed service, the listed subscribers together defining a subscriber audience, and each subscriber on the list having an associated subscriber profile; selecting an article to publish to the subscriber audience based on the subscriber profiles; publishing the selected article to the subscriber audience via the Internet digital content feed service; analyzing the selected article to generate corresponding article information; storing the article information in a data store in association with an identifier of a corresponding author of the article; tracking individual subscriber actions associated with the selected article to form attention data, wherein tracking includes determining whether a status identifier associated with the selected article indicates that the article is unread; analyzing the attention data to form an indication of each of the one or more individual subscribers' response to the selected article; storing the indicia of each of the one or more individual subscribers' responses to the selected article; and using the stored article information together with the corresponding indicia of attention data, to predict a response of the one or more of the individual subscribers of the subscriber audience to a new, unpublished article.