Despite various efforts to improve reliability of health care material on the world wide web in recent years, progress on this issue has been limited. Thus far, a variety of terms intended to describe this issue, including quality, trustworthiness, and credibility have been used. In spite of growing concern about quality and accuracy of online health information, there is mounting evidence that online information affects consumer behavior. This project aims to supply the internet customers with appropriate software that will be able to recognize the amount of information of the layman texts published online and determine the credibility level of the web sites.

Text mining for automatic lexical analysis of layman text of biomedical argument

PIVETTI, SUSANNA;GIACOMINI, MAURO
2009

Abstract

Despite various efforts to improve reliability of health care material on the world wide web in recent years, progress on this issue has been limited. Thus far, a variety of terms intended to describe this issue, including quality, trustworthiness, and credibility have been used. In spite of growing concern about quality and accuracy of online health information, there is mounting evidence that online information affects consumer behavior. This project aims to supply the internet customers with appropriate software that will be able to recognize the amount of information of the layman texts published online and determine the credibility level of the web sites.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/399715
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