Filtering Web pages for quality indicators: an empirical approach to finding high quality consumer health information on the World Wide Web

Abstract

The World Wide Web is an increasingly popular source for consumer health information, but many authors have expressed concerns about the quality of health information present on the Internet. We have developed a prototype system that responds to a consumer health query by returning a list of Web pages that are ranked according to the likely quality of the page contents. A computer program identifies some of the criteria that have been suggested for assessing the quality of health information on the Internet. It also identifies characteristics that may serve as proxies for desirable (or undesirable) qualities that are difficult to assess directly using an algorithm. Intervening in the search process and automatically analyzing the contents of each page returned by a general search engine may facilitate the search for high quality consumer health information on the Web.