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Information Quality has emerged as an important measure for the success of Information Systems. At the same time the World Wide Web has established itself as the key infrastructure for information administration, exchange, and publication. Users are getting information from the web at the click of a button however they must filter sub-standard information before they can use quality content. Researchers have aimed to address this problem by suggesting various information quality frameworks. Research till date has seen twenty important Information Quality (IQ) frameworks emerge. These models though varied in their approach and application share a number of characteristics regarding their classifications of the attributes of quality. A new framework for the measurement of information quality is developed and twenty two information quality dimensions are identified for measuring information quality in context of the web from a user perspective. An online survey instrument is used for data collection. The research argues that WWW is not a homogeneous entity and should be understood from individual aspects of three independent variables of web domain, type of website and end user nationality to arrive at its conclusion. Results highlight nine IQ dimensions which are important across the whole web environment, while thirteen dimensions have contextual importance and vary across web domain and national culture.