Videolyzer is a tool designed to help journalists and bloggers collect, organize, and present information about the quality (i.e. validity, reliability, etc.) of online videos. It makes it possible to evaluate and make sense of things like comments, claims, and sources as they relate to the video. Users can comment and annotate pieces of the video (called "anchors") to provide a more fine-grained description of the information in the video. The interface also incorporates a tightly integrated transcript of what's spoken in the video to make it easier to navigate the dense information there. Finally, Videolyzer allows for collaboration among many people. Users can build off of each other's annotations and rate each other in a form of distributed vetting and peer-evaluation.

Videolyzer is in public alpha testing and is currently available with a limited set of content. If you're interested in using another video mail Nick with a link. See the Getting Started Guide for a description of all of the features available in Videolyzer.

You can use Videolyzer to analyze the quality of the information in the statements made in the video, to cite reputable sources to corroborate or refute information presented there, or just to have a discussion and dialogue with others about the relevant issues.

To jump in and start analyzing some video Click Here.

Since we're actively developing Videolyzer we appreciate any and all feedback; good and bad. Once you've had a chance to use Videolyzer a bit please feel free to complete our Online Questionnaire or email Nick Diakopoulos.

Videolyzer is being developed by Nick Diakopoulos and others at the Georgia Institute of Technology. The project is part of a larger effort at GT in the area of Computational Journalism - the use of technology and computation to facilitate and empower the goals of journalism. For more information please contact Nick.