About this paper

Appears in:
Pages: 3967-3972
Publication year: 2018
ISBN: 978-84-09-02709-5
ISSN: 2340-1117
doi: 10.21125/edulearn.2018.1007

Conference name: 10th International Conference on Education and New Learning Technologies
Dates: 2-4 July, 2018
Location: Palma, Spain

IDENTIFICATION OF AUTHOR’S CREDIBILITY IN WIKI ARTICLES USING JAVA ALGORITHMS TECHNIQUE

M. Boulaajoul, N. Aknin

Abdelmalek Essaadi University, Faculty of Science (MOROCCO)
Collaborative web applications, such as blogs, open-source software, and wikis, are all examples that allow a community of users to interact with each other to achieve a common goal.

Therefore, to encourage participation, most of these applications have little or no barriers to entry. So, anyone can be the source of the content. This diversity of sources puts the reliability of the content in danger. Indeed, the wiki model is the most advantageous to attackers.
As a result, the need to have a system that allows to associate wiki text with a reputation of its author, has become paramount. The algorithms developed are characterized by certain entries made by the previous contributors’ratings,to alert readers to the credibility degree of the wiki article.

The rating average of any wiki article is based on the previous ratings made by the contributors.In other words, each rating of a contributor will be used to deduct the credibility of an author of this content, taking into consideration of course, whether this rating is put for the first time on this article or this contributor already put it. The algorithms will be used in these two cases, and it will show immediately the average rating of this author and the average rating of the article. Then, the higher the average rating is, the more reliable the wiki articlewould be.

In short, these algorithms encourage readers to check the competence of the authors and the quality of its sources, or even to seek them to validate or invalidate the content online.
@InProceedings{BOULAAJOUL2018IDE,
author = {Boulaajoul, M. and Aknin, N.},
title = {IDENTIFICATION OF AUTHOR’S CREDIBILITY IN WIKI ARTICLES USING JAVA ALGORITHMS TECHNIQUE},
series = {10th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN18 Proceedings},
isbn = {978-84-09-02709-5},
issn = {2340-1117},
doi = {10.21125/edulearn.2018.1007},
url = {http://dx.doi.org/10.21125/edulearn.2018.1007},
publisher = {IATED},
location = {Palma, Spain},
month = {2-4 July, 2018},
year = {2018},
pages = {3967-3972}}
TY - CONF
AU - M. Boulaajoul AU - N. Aknin
TI - IDENTIFICATION OF AUTHOR’S CREDIBILITY IN WIKI ARTICLES USING JAVA ALGORITHMS TECHNIQUE
SN - 978-84-09-02709-5/2340-1117
DO - 10.21125/edulearn.2018.1007
PY - 2018
Y1 - 2-4 July, 2018
CI - Palma, Spain
JO - 10th International Conference on Education and New Learning Technologies
JA - EDULEARN18 Proceedings
SP - 3967
EP - 3972
ER -
M. Boulaajoul, N. Aknin (2018) IDENTIFICATION OF AUTHOR’S CREDIBILITY IN WIKI ARTICLES USING JAVA ALGORITHMS TECHNIQUE, EDULEARN18 Proceedings, pp. 3967-3972.
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