In Wikipedia We Trust: A Case Study - Extended Abstract
Authors | Arpit Merchant Darshit G. Shah Navjyoti Singh |
|---|---|
Publication date | 2016 |
ISBN | 978-157735768-1 |
Links |
In Wikipedia We Trust: A Case Study - Extended Abstract - scientific work about Wikipedia quality published in 2016, written by Arpit Merchant, Darshit G. Shah and Navjyoti Singh.
Overview
Wikipedia follows an open editing model that allows anyone to edit any entry. This has led to questions about the credibility and quality of information on it. Yet, it remains one of the most widely visited online encyclopedias. In this paper, authors present a discussion of the various factors that influence the trust that users have on Wikipedia through a framework consisting of personal, social and functional elements. Authors further argue that digital signals and non-verbal cues also play an important role in determining trust on the various agents of the system. ©2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Embed
Wikipedia Quality
Merchant, Arpit; Shah, Darshit G.; Singh, Navjyoti. (2016). "[[In Wikipedia We Trust: A Case Study - Extended Abstract]]". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9982 LNCS, 2016, pp. 177-185. ISBN: 978-157735768-1.
English Wikipedia
{{cite journal |last1=Merchant |first1=Arpit |last2=Shah |first2=Darshit G. |last3=Singh |first3=Navjyoti |title=In Wikipedia We Trust: A Case Study - Extended Abstract |date=2016 |isbn=978-157735768-1 |url=https://wikipediaquality.com/wiki/In_Wikipedia_We_Trust:_A_Case_Study_-_Extended_Abstract |journal=Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9982 LNCS, 2016, pp. 177-185}}
HTML
Merchant, Arpit; Shah, Darshit G.; Singh, Navjyoti. (2016). "<a href="https://wikipediaquality.com/wiki/In_Wikipedia_We_Trust:_A_Case_Study_-_Extended_Abstract">In Wikipedia We Trust: A Case Study - Extended Abstract</a>". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 9982 LNCS, 2016, pp. 177-185. ISBN: 978-157735768-1.
