Robin Good's insight:
From the paper abstract: "Social media such as microblogs have become so pervasive such that it is now possible to use them as sensors for real-world events and memes.
While much recent research has focused on developing automatic methods for filtering and summarizing these data streams, we explore a different trend called social curation.
In contrast to automatic methods, social curation is characterized as a human-in-the-loop and sometimes crowd-sourced mechanism for exploiting social media as sensors."
The paper attempts to analyze curated microblog data and to understand the main reasons why people "participate in this laborious curation process".
It also looks at "new ways in which information retrieval and machine learning technologies can be used to assist curators" and it also suggests "a novel method based on a learning-to-rank framework that increases the curator's productivity and breadth of perspective by suggests which novel microblogs should be added to the curated content."
The paper contains valuable information for anyone interested in having more statistical data about social curation activities and patterns on Twitter, the use of lists and the typical reasons why individuals want to do this.
Full original PDF paper: http://cl.naist.jp/~kevinduh/papers/duh12curation-long.pdf