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Reliability and type of consumer health documents on the World Wide Web: an annotation study
1Computer Science Department, California State University, Stanislaus, One University Circle, Turlock California, 95382, USA. mmartin@cs.csustan.edu.
Background:
In this paper we present a detailed scheme for annotating medical web pages designed for health care consumers. The annotation is along two axes: first, by reliability (the extent to which the medical information on the page can be trusted), second, by the type of page (patient leaflet, commercial, link, medical article, testimonial, or support).
Results:
We analyze inter-rater agreement among three judges for each axis. Inter-rater agreement was moderate (0.77 accuracy, 0.62 F-measure, 0.49 Kappa) on the page reliability axis and good (0.81 accuracy, 0.72 F-measure, 0.73 Kappa) along the page type axis.
Conclusions:
We have shown promising results in this study that appropriate classes of pages can be developed and used by human annotators to annotate web pages with reasonable to good agreement.
Availability:
No.
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