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A "quick and dirty" website data quality indicator
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Conference on Information and Knowledge Management archive
Proceeding of the 2nd ACM workshop on Information credibility on the web table of contents
Napa Valley, California, USA
SESSION: Web content analysis table of contents
Pages 43-46  
Year of Publication: 2008
ISBN:978-1-60558-259-7
Authors
Irit Askira Gelman  University of Arizona, Tucson, AZ, USA
Anthony L. Barletta  University of Arizona, Tucson, AZ, USA
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Irit Askira Gelman: colleagues
Anthony L. Barletta: colleagues