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             Example Two - News Story 
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            What about a story that is not so easily broken up as a game story? 
              Chris Willis, another colleague, designed this hard-news page that 
              hews even more closely to the Amazon model.  
            This example builds not around an event, per se, but a topical 
              issue. That's because issues, like stories, are constantly evolving. 
              This issue, the controversy over a Supreme Court nomination, is 
              a starting point from which to hang data, reader questions and feedback. 
              And as readers get more and more involved, the story itself changes 
              in response to their queries.  
            So on this news page, the specific event story, at top, center, 
              is only a teaser  a concise summary, with a link if you want 
              to go to the text story. There are Opinions and a Live Vote just 
              below  showing that these are integral parts of the story. 
             
            Time and Place: This page also gives a nod to the notion 
              of Time and Place by posting the story with Universal Time Code, 
              or GMT.  
            There is also a readers' ranking, and a story ranking  showing 
              that it's popular with conservative males aged 35-55 in Southern 
              California. So here you have a psychographic ranking rather than 
              geographic ranking. Recent reader comments foster the sense of network 
              and interactivity  similar to Plastic.com or Slashdot. 
             
            Personality: By highlighting a reader comment, high up, 
              this page shows that feedback is as important as the so-called lead 
              story. And note the irreverence of the reader comment: The writer 
              asks: What's so great about bi  meaning bi-partisanship and 
              refers to Ralph Nader's 'skinny, loveless arms.' Here, users are 
              defining the personality of the page.  
            Network: You find out that readers who read this story also 
              read pieces in the Washington Post  using the network and 
              geography. Again, building on the notion that what readers are interested 
              in is what counts.  
            And, keeping in mind the study Steve Outing cited, you can browse 
              related stories that were chosen:  
              a) By the editor  
              b) Or by the readers. And the readers' links appear here. 
             Interactivity: The so-called story-story is at the bottom. 
              On the right hand side of the page, notice the View Cart, so you 
              can buy not just merchandise, but more content. And there are featured 
              sections. You can interact  save or send the story, or set 
              up a Favorites List. Of course there's a poll  interact and 
              enter the discussion.  
            Time considerations: On the right is a teaser to tonight's 
              TV show about the issue under discussion, with a "remind me" 
              button. And on the lower right, an up-to-the-minute tabulation of 
              how many points you have accumulated. You're now eligible for this 
              cool mug. You get instant gratification and an ongoing incentive 
              to use the site.  
            Data: The elements under "Explore this Story" 
              feed the user's obsession to know more about the issue. It captures 
              the interaction of the community of readers. They ask questions, 
              their questions then form the new links and access to deeper data. 
              As you move around the page, you see an organic landscape of opinion 
              that grows and changes.  
            And because it is organic, over time the page will grow  
              or degrade and die if there is no reader interest. To encourage 
              a long life for the issue, readers can explore more such stories 
              from the archives, or from the Washington Post or New York Times. 
             
            The feature, "Readers Also Wanted to Know," turns reader 
              queries into a way to broaden the story. What does an attorney general 
              do? How do you reconcile beliefs and jobs? The network tells you 
              which data to move, to retrieve and highlight. At the bottom left, 
              Chris offers readers an easy way to rate the stories.  
            As these lively examples show, on the web, storytelling isn't dead. 
              It's alive, and well  and uniquely different.  
            Mix it up: Join in the forum 
              about this presentation.  
            ** Please note: We have added an additional example 
              of a news story in the Amazoning model  Chandra Levy: 
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