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View all- Moás PLopes C(2023)Automatic Quality Assessment of Wikipedia Articles—A Systematic Literature ReviewACM Computing Surveys10.1145/362528656:4(1-37)Online publication date: 10-Nov-2023
An investigation of the relationship between the amount of extra-textual data and the quality of Wikipedia articles
Authors: 
Marcelo Yuji Himoro, Raíza Hanada, 
Marco Cristo, 
Maria da Graça Campos PimentelAuthors Info & Claims
Marcelo Yuji Himoro, Raíza Hanada, Marco Cristo, Maria da Graça Campos PimentelAuthors Info & ClaimsPages 333 - 336
Abstract
Wikipedia, a web-based collaboratively maintained free encyclopedia, is emerging as one of the most important websites on the internet. However, its openness raises many concerns about the quality of the articles and how to assess it automatically. In the Portuguese-speaking Wikipedia, articles can be rated by bots and by the community. In this paper, we investigate the correlation between these ratings and the count of media items (namely images and sounds) through a series of experiments. Our results show that article ratings and the count of media items are correlated.
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Index Terms
- An investigation of the relationship between the amount of extra-textual data and the quality of Wikipedia articles
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Information & Contributors
Information
Published In
November 2013
360 pages
ISBN:9781450325592
DOI:10.1145/2526188
- General Chairs:
- Cássio V.S. Prazeres,
- Paulo N.M. Sampaio,
- Program Chairs:
- André Santanchè,
- Celso A.S. Santos,
- Rudinei Goularte
Copyright © 2013 ACM.
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- SBC: Brazilian Computer Society
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 05 November 2013
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- Research-article
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WebMedia '13
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- SBC
WebMedia '13: 19th Brazilian Symposium on Multimedia and the Web
November 5 - 8, 2013
Salvador, Brazil
Acceptance Rates
WebMedia '13 Paper Acceptance Rate 29 of 87 submissions, 33%;
Overall Acceptance Rate 270 of 873 submissions, 31%
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View all- Moás PLopes C(2023)Automatic Quality Assessment of Wikipedia Articles—A Systematic Literature ReviewACM Computing Surveys10.1145/362528656:4(1-37)Online publication date: 10-Nov-2023
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