On the Feasibility of External Factual Support as Wikipedias Quality Metric
Authors | Carlos G. Velázquez Leticia Cecilia Cagnina Marcelo Luis Errecalde |
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Publication date | 2017 |
ISSN | 11355948 |
Links |
On the Feasibility of External Factual Support as Wikipedias Quality Metric - scientific work about Wikipedia quality published in 2017, written by Carlos G. Velázquez, Leticia Cecilia Cagnina and Marcelo Luis Errecalde.
Overview
Developing metrics to estimate the information quality of Wikipedia articles is an interesting and important research area. In this article, authors propose and analyse the feasibility, of a new quality metric based on the "external factual support" of an article. The rationale behind this metric is identified, a formal definition of the metric is presented and some implementation aspects are introduced. Preliminary results show the feasibility of their proposal and its potential to discriminate high quality versus low quality Wikipedia's articles.
Embed
Wikipedia Quality
Velázquez, Carlos G.; Cagnina, Leticia Cecilia; Errecalde, Marcelo Luis. (2017). "[[On the Feasibility of External Factual Support as Wikipedias Quality Metric]]". Procesamiento de Lenguaje Natural Volume 58, March 2017, pp. 93-100. ISSN: 11355948.
English Wikipedia
{{cite journal |last1=Velázquez |first1=Carlos G. |last2=Cagnina |first2=Leticia Cecilia |last3=Errecalde |first3=Marcelo Luis |title=On the Feasibility of External Factual Support as Wikipedias Quality Metric |date=2017 |issn=11355948 |url=https://wikipediaquality.com/wiki/On_the_Feasibility_of_External_Factual_Support_as_Wikipedias_Quality_Metric |journal=Procesamiento de Lenguaje Natural Volume 58, March 2017, pp. 93-100}}
HTML
Velázquez, Carlos G.; Cagnina, Leticia Cecilia; Errecalde, Marcelo Luis. (2017). "<a href="https://wikipediaquality.com/wiki/On_the_Feasibility_of_External_Factual_Support_as_Wikipedias_Quality_Metric">On the Feasibility of External Factual Support as Wikipedias Quality Metric</a>". Procesamiento de Lenguaje Natural Volume 58, March 2017, pp. 93-100. ISSN: 11355948.
