Difference between revisions of "Case Study: Integrity of Wikipedia Articles"
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| + | | title = Case Study: Integrity of Wikipedia Articles | ||
| + | | date = 2014 | ||
| + | | authors = [[Amin Ranj Bar]]<br />[[Muthucumaru Maheswaran]] | ||
| + | | doi = 10.1007/978-3-319-02717-3_6 | ||
| + | | link = https://link.springer.com/chapter/10.1007/978-3-319-02717-3_6/fulltext.html | ||
| + | }} | ||
'''Case Study: Integrity of Wikipedia Articles''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Amin Ranj Bar]] and [[Muthucumaru Maheswaran]]. | '''Case Study: Integrity of Wikipedia Articles''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Amin Ranj Bar]] and [[Muthucumaru Maheswaran]]. | ||
== Overview == | == Overview == | ||
In this chapter, authors investigate the integrity of [[Wikipedia]] articles as an example of integrity management in crowdsourcing systems. Authors first challenge its integrity by performing some experiments. Afterwards, authors analyze the dump datasets from its website to find the reasons behind high integrity for few articles and low integrity for majority of them. | In this chapter, authors investigate the integrity of [[Wikipedia]] articles as an example of integrity management in crowdsourcing systems. Authors first challenge its integrity by performing some experiments. Afterwards, authors analyze the dump datasets from its website to find the reasons behind high integrity for few articles and low integrity for majority of them. | ||
Revision as of 09:49, 12 August 2019
Authors | Amin Ranj Bar Muthucumaru Maheswaran |
|---|---|
Publication date | 2014 |
DOI | 10.1007/978-3-319-02717-3_6 |
Links | Original |
Case Study: Integrity of Wikipedia Articles - scientific work related to Wikipedia quality published in 2014, written by Amin Ranj Bar and Muthucumaru Maheswaran.
Overview
In this chapter, authors investigate the integrity of Wikipedia articles as an example of integrity management in crowdsourcing systems. Authors first challenge its integrity by performing some experiments. Afterwards, authors analyze the dump datasets from its website to find the reasons behind high integrity for few articles and low integrity for majority of them.
