Abstract
The Internet is naturally a simple and immediate mean to retrieve information. However, not everything one can find is equally accurate and reliable. In this paper, we continue our line of research towards effective techniques for assessing the quality of online content. Focusing on the Wikipedia Medicinal Portal, in a previous work we implemented an automatic technique to assess the quality of each article and we compared our results to the classification of the articles given by the portal itself, obtaining quite different outcomes. Here, we present a lightweight instantiation of our methodology that reduces both redundant features and those not mentioned by the WikiProject guidelines. What we obtain is a fine-grained assessment and a better discrimination of the articles’ quality, w.r.t. previous work. Our proposal could help to automatically evaluate the maturity of Wikipedia medical articles in an efficient way.
Work partially supported by the Tuscany region projects MyChoice and PICs and by the Registro.it project My Information Bubble.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aitken, M., Altmann, T., Rosen, D.: Engaging patients through social media. Technical report, IMS Institute for healthcare informatics (January 2014), http://goo.gl/BoFJA8 (last checked: August 27, 2014)
Blumenstock, J.E.: Automatically assessing the quality of Wikipedia. School of Information Report 2008-021, UC Berkeley (2008)
Blumenstock, J.E.: Size matters: Word Count as a measure of quality on Wikipedia. In: 17th International Conference on World Wide Web (2008)
Conti, R., Marzini, E., Spognardi, A., Matteucci, I., Mori, P., Petrocchi, M.: Maturity assessment of Wikipedia medical articles. In: CBMS 2014. IEEE (2014)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley Series in Telecommunications and Signal Processing. Wiley-Interscience (2006)
Dalip, H., et al.: Automatic quality assessment of content created collaboratively by web communities: A case study of Wikipedia. In: 9th ACM/IEEE-CS Joint Conference on Digital Libraries. ACM (2009)
Haigh, C.A.: Wikipedia as an evidence source for nursing and healthcare students. Nurse Education Today 31(2) (2011)
Hamming, R.W.: Coding and Information Theory, 2nd edn. Prentice-Hall, Inc., Upper Saddle River (1986)
Hu, M., Lim, E.-P., Sun, A., Lauw, H.W., Vuong, B.-Q.: Measuring Article Quality in Wikipedia: Models and Evaluation. In: 16th CIKM. ACM (2007)
Marzini, E., Spognardi, A., Matteucci, I., Mori, P., Petrocchi, M., Conti, R.: Improved automatic assessment of Wikipedia medical articles. Technical report, IIT-CNR, TR-IIT-11-2014 (August 2014)
Miller, G.A.: The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information. The Psychological Review 63 (1956)
Mobihealthnews.com. Almost 1M families use video consultations with physicians last year (March 2014), http://goo.gl/6sI0tD (last checked: August 27, 2014)
Feltman, R.: The #1 doctor in the world is Dr. Wikipedia. MSN News online (January 2014), http://goo.gl/zhTNoa (last checked: August 27, 2014)
Fox, S., Duggan, M.: Health Online 2013. Pewinternet.org (January 2013), http://goo.gl/vRBnCA (last checked: August 27, 2014)
Saaty, T.L.: Decision making with the Analytic Hierarchy Process. Int. Journ. of Services Sciences 1(1) (2008)
Sillence, E., Briggs, P., Harris, P.R., Fishwick, L.: How do patients evaluate and make use of online health information? Social Science and Medicine 64(9) (2007)
Stvilia, B., Twidale, M.B., Gasser, L., Smith, L.C.: Information quality discussions in Wikipedia. In: Knowledge Management (2005)
Suzuki, Y., Yoshikawa, M.: Assessing Quality Score of Wikipedia Article Using Mutual Evaluation of Editors and Texts. In: 22nd CIKM. ACM (2013)
U.S. Dept. of Health and Human services. Online Health Information: Can You Trust It?, http://goo.gl/G5evGg (last checked: August 27, 2014)
Warncke-Wang, M., Cosley, D., Riedl, J.: Tell Me More: An actionable quality model for Wikipedia. In: 9th Intl. Symposium on Open Collaboration. ACM (2013)
Wilkinson, D.M., Huberman, B.A.: Cooperation and Quality in Wikipedia. In: Intl. Symposium on Wikis. ACM (2007)
Wu, K., Zhu, Q., Zhao, Y., Zheng, H.: Mining the factors affecting the quality of Wikipedia articles. In: Inform. Science and Management Eng., vol. 1 (2010)
Xu, Y., Luo, T.: Measuring article quality in Wikipedia: Lexical clue model. In: 2011 3rd Symposium on Web Society, SWS (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marzini, E., Spognardi, A., Matteucci, I., Mori, P., Petrocchi, M., Conti, R. (2014). Improved Automatic Maturity Assessment of Wikipedia Medical Articles. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. OTM 2014. Lecture Notes in Computer Science, vol 8841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45563-0_37
Download citation
DOI: https://doi.org/10.1007/978-3-662-45563-0_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45562-3
Online ISBN: 978-3-662-45563-0
eBook Packages: Computer ScienceComputer Science (R0)