We propose and evaluate QuWi (Quality in Wikipedia), a framework for quality control in Wikipedia. We build upon a previous proposal by Mizzaro 11, who proposed a method for substituting and/or complementing peer review in scholarly publishing. Since articles in Wikipedia are never finished, and their authors change continuously, we define a modified algorithm that takes into account the different domain, with particular attention to the fact that authors contribute identifiable pieces of information that can be further modified by other authors.</p> <p>The algorithm assigns quality scores to articles and contributors. The scores assigned to articles can be used, e.g., to let the reader understand how reliable are the articles he or she is looking at, or to help contributors in identifying low quality articles to be enhanced. The scores assigned to users measure the average quality of their contributions to Wikipedia and can be used, e.g., for conflict resolution policies based on the quality of involved users.</p> <p>Our proposed algorithm is experimentally evaluated by analyzing the obtained quality scores on articles for deletion and featured articles, also on six temporal Wikipedia snapshots. Preliminary results demonstrate that the proposed algorithm seems to appropriately identify high and low quality articles, and that high quality authors produce more long-lived contributions than low quality authors.
%0 Conference Paper
%1 Cusinato:2009:QQC:1526993.1527001
%A Cusinato, Alberto
%A Della Mea, Vincenzo
%A Di Salvatore, Francesco
%A Mizzaro, Stefano
%B Proceedings of the 3rd workshop on Information credibility on the web
%C New York, NY, USA
%D 2009
%I ACM
%K content generated quality user
%P 27--34
%R 10.1145/1526993.1527001
%T QuWi: quality control in Wikipedia
%U http://doi.acm.org/10.1145/1526993.1527001
%X We propose and evaluate QuWi (Quality in Wikipedia), a framework for quality control in Wikipedia. We build upon a previous proposal by Mizzaro 11, who proposed a method for substituting and/or complementing peer review in scholarly publishing. Since articles in Wikipedia are never finished, and their authors change continuously, we define a modified algorithm that takes into account the different domain, with particular attention to the fact that authors contribute identifiable pieces of information that can be further modified by other authors.</p> <p>The algorithm assigns quality scores to articles and contributors. The scores assigned to articles can be used, e.g., to let the reader understand how reliable are the articles he or she is looking at, or to help contributors in identifying low quality articles to be enhanced. The scores assigned to users measure the average quality of their contributions to Wikipedia and can be used, e.g., for conflict resolution policies based on the quality of involved users.</p> <p>Our proposed algorithm is experimentally evaluated by analyzing the obtained quality scores on articles for deletion and featured articles, also on six temporal Wikipedia snapshots. Preliminary results demonstrate that the proposed algorithm seems to appropriately identify high and low quality articles, and that high quality authors produce more long-lived contributions than low quality authors.
%@ 978-1-60558-488-1
@inproceedings{Cusinato:2009:QQC:1526993.1527001,
abstract = {We propose and evaluate QuWi (Quality in Wikipedia), a framework for quality control in Wikipedia. We build upon a previous proposal by Mizzaro [11], who proposed a method for substituting and/or complementing peer review in scholarly publishing. Since articles in Wikipedia are never finished, and their authors change continuously, we define a modified algorithm that takes into account the different domain, with particular attention to the fact that authors contribute identifiable pieces of information that can be further modified by other authors.</p> <p>The algorithm assigns quality scores to articles and contributors. The scores assigned to articles can be used, e.g., to let the reader understand how reliable are the articles he or she is looking at, or to help contributors in identifying low quality articles to be enhanced. The scores assigned to users measure the average quality of their contributions to Wikipedia and can be used, e.g., for conflict resolution policies based on the quality of involved users.</p> <p>Our proposed algorithm is experimentally evaluated by analyzing the obtained quality scores on articles for deletion and featured articles, also on six temporal Wikipedia snapshots. Preliminary results demonstrate that the proposed algorithm seems to appropriately identify high and low quality articles, and that high quality authors produce more long-lived contributions than low quality authors.},
acmid = {1527001},
added-at = {2011-12-08T13:27:01.000+0100},
address = {New York, NY, USA},
author = {Cusinato, Alberto and Della Mea, Vincenzo and Di Salvatore, Francesco and Mizzaro, Stefano},
biburl = {https://www.bibsonomy.org/bibtex/23f07549ae3045183880e80ef3fb3c5c9/griesbau},
booktitle = {Proceedings of the 3rd workshop on Information credibility on the web},
description = {QuWi},
doi = {10.1145/1526993.1527001},
interhash = {9cb6d86b2f43dc53f1ae8107fef48f8d},
intrahash = {3f07549ae3045183880e80ef3fb3c5c9},
isbn = {978-1-60558-488-1},
keywords = {content generated quality user},
location = {Madrid, Spain},
numpages = {8},
pages = {27--34},
publisher = {ACM},
series = {WICOW '09},
timestamp = {2011-12-08T13:27:01.000+0100},
title = {QuWi: quality control in Wikipedia},
url = {http://doi.acm.org/10.1145/1526993.1527001},
year = 2009
}