  Archiving Web pages into themed collections is a method for ensuring these
resources are available for posterity. Services such as Archive-It exists to
allow institutions to develop, curate, and preserve collections of Web
resources. Understanding the contents and boundaries of these archived
collections is a challenge for most people, resulting in the paradox of the
larger the collection, the harder it is to understand. Meanwhile, as the sheer
volume of data grows on the Web, "storytelling" is becoming a popular technique
in social media for selecting Web resources to support a particular narrative
or "story". There are multiple stories that can be generated from an archived
collection with different perspectives about the collection. For example, a
user may want to see a story that is composed of the key events from a specific
Web site, a story that is composed of the key events of the story regardless of
the sources, or how a specific event at a specific point in time was covered by
different Web sites, etc. In this paper, we provide different case studies for
possible types of stories that can be extracted from a collection. We also
provide the definitions and models of these types of stories.
