An empirical study to predict the quality of wikipedia articles

Imran Khan, Shahid Hussain, Hina Gul, Muhammad Shahid, Muhammad Jamal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Wikipedia is considered a common way to deliver content in a more effective way as compared to other types of an encyclopedia. However, the quality threat remains an issue regarding the Wikipedia articles. The basic aim of propose research to perform an empirical study to predict the quality of Wikipedia articles. In the proposed methodology, we consider few metrics such as article length (total number of word in an article), number of edits, article age (in the day) and article ranking and perform few statistical tests analyze the quality of Wikipedia articles. Moreover, we observe a significant correlation of proposed metrics with the rating of articles in order to identify their quality.

Original languageEnglish (US)
Title of host publicationNew Knowledge in Information Systems and Technologies - Volume 3
EditorsÁlvaro Rocha, Hojjat Adeli, Luís Paulo Reis, Sandra Costanzo
PublisherSpringer Verlag
Pages485-492
Number of pages8
ISBN (Print)9783030161866
DOIs
StatePublished - 2019
EventWorld Conference on Information Systems and Technologies, WorldCIST 2019 - Galicia, Spain
Duration: Apr 16 2019Apr 19 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume932
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceWorld Conference on Information Systems and Technologies, WorldCIST 2019
Country/TerritorySpain
CityGalicia
Period4/16/194/19/19

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

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