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Improved maturity assessment of Wikipedia medical articles

The Internet is naturally a simple and immediate mean to retrieve information. However, not everything one can find is equally ac- curate 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 com- pared 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. 


13th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2014), Amantea, Italy, 2014

Autori esterni: Riccardo Conti ()
Autori IIT:

Emanuel Marzini

Foto di Emanuel Marzini

Angelo Spognardi

Foto di Angelo Spognardi

Tipo: Articolo in Atti di convegno internazionale con referee
Area di disciplina: Information Technology and Communication Systems

File: main.pdf

Attività: Bolle dell'informazione e rilevamento di falsi in rete