A framework for automatic information quality ranking of diabetes websites

Date

2015-01-01

Author

Saglam, Rahime Belen
Taşkaya Temizel, Tuğba

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Objective: When searching for particular medical information on the internet the challenge lies in distinguishing the websites that are relevant to the topic, and contain accurate information. In this article, we propose a framework that automatically identifies and ranks diabetes websites according to their relevance and information quality based on the website content.

Subject Keywords

Biased content, Diabetes, Information quality, Quality assessment

URI

https://hdl.handle.net/11511/32468

Journal

INFORMATICS FOR HEALTH & SOCIAL CARE

DOI

https://doi.org/10.3109/17538157.2013.872109

Collections

Graduate School of Informatics, Article

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Citation Formats

R. B. Saglam and T. Taşkaya Temizel, “A framework for automatic information quality ranking of diabetes websites,” INFORMATICS FOR HEALTH & SOCIAL CARE, pp. 45–66, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32468.