An annotation model for making sense of information quality in online video

Authors:
Nicholas Diakopoulos;Irfan Essa
Affiliations:
Georgia Institute of Technology, School of Interactive Computing, GVU Center, Atlanta, GA;Georgia Institute of Technology, School of Interactive Computing, GVU Center, Atlanta, GA
Venue:
Proceedings of the 3rd International Conference on the Pragmatic Web: Innovating the Interactive Society
Year:
2008

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Abstract

Making sense of the information quality of online media including things such as the accuracy and validity of claims and the reliability of sources is essential for people to be well-informed. We are developing Videolyzer to address the challenge of information quality sense-making by allowing motivated individuals to analyze, collect, share, and respond to criticisms of the information quality of online political videos and their transcripts. In this paper specifically we present a model of how the annotation ontology and collaborative dynamics embedded in Videolyzer can enhance information quality.