CNNMoney uses Daylife to power the Meme-o-meter, which tracks how much (or how little) various technology memes are being discussed in news and blogs.

This widget is one of the several examples of our Index Widgets. CNNMoney went one step further than creating a dex widget by building news page for each item that the dex tracks. For e.g.  a news page on Social Networking.

Step by Step 

1. Define the application

   The biggest challenge in visualizing the meme-o-meter was to come up with a list of terms that defines each item that is being tracked by the widget Here are a few examples of how the editors at CNN Money defined their target topics:

   Social networking - "social media" OR Facebook OR MySpace

   Citizen journalism - wikis OR "recommendation engines" OR "feedback software"

   User-generated content - "YouTube" OR "citizen journalism" OR "d-i-y media"

2. Develop and Deploy using the DayPI

   Meme-o-meter is built using Version 4.0 of the DayPI. The UI for the widget was built by the developers at CNNMoney using flash.

   The meme-o-meter index uses the News Indexer code to generate the XML data for the meme-o-meter flash to consume.

   The news pages for each item are powered by the Search API - specifically, search_getRelatedArticles is called with the query for each item being tracked.