A "quick and dirty" website data quality indicator

Authors:
Irit Askira Gelman;Anthony L. Barletta
Affiliations:
University of Arizona, Tucson, AZ, USA;University of Arizona, Tucson, AZ, USA
Venue:
Proceedings of the 2nd ACM workshop on Information credibility on the web
Year:
2008

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Abstract

This short paper outlines a research study in progress, which is motivated by the perception that the spelling error rate of a document can serve as a rudimentary proxy for the degree of quality control exercised in its creation, and, subsequently, indicate its quality. One objective of this research is to validate this understanding. Ultimately, the goal of this research is to take advantage of such an association. In particular, we propose a simple, "quick and dirty" metric for assisting in the evaluation of the quality of websites. This metric utilizes the reported hit counts of search engine queries on a pre-determined set of commonly misspelled words.