With new media and Content 2.0, there are new ways of mapping information trends. We live in a sea of information and with that comes the need to categorize and graph the discovery of patterns and information so we are not lost. On top of that are further layers of categorization that allows us to categorize our categorizations. The following is a list of media attention syndications and profiles that I’ve been attempting to categorize:
- The Global Attention Profile was developed by Ethan Zuckerman who was irritated that the New York Times had not reported on widely circulating information about a possible massacre in the Congo. It shows what percentage of news references are located in which national regions and it’s mapped according to the news service.
- Google Trends allows users to graph Google search volume and Google News reference volume by location and date.
- A wikipedia tool, WikiRage, allows users to see which entries on Wikipedia are currently being revised at the fastest rates.
- Buzztracker lets you see a map of the world and where various media “buzzes” are ocurring.
- The Viral Video Chart allows users to map how popular video content has become over time and to see what links to that content.
- Popurls is a syndication of the most-hit stories on syndications sites themselves, like Digg and Newsvine.
- Newsmap is an artistic map of what the news headlines look like today.
- We Feel Fine is a creative “exploration of human emotion” that syndicates “I feel” statements and other propositional attitudes found in blog searches.
- Similar to We Feel Fine is the Listening Post, which “culls text fragments in real time from thousands of unrestricted internet chatrooms.”
Not within this category is a tool that I use for this blog, Google Analytics, which is a web analytic tool that allows me to graph the hits on my own blog, and to see the geographical locations where my content is most popular. Proprietary web analytics tools are mostly designed for SEO purposes and greyhat hackers. They’re usually not free. The category I’m trying to build is specifically about blog and news media web mining services.