Measuring Qualities of Articles Contributed by Online Communities
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Measuring article quality in wikipedia: models and evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Size matters: word count as a measure of quality on wikipedia
Proceedings of the 17th international conference on World Wide Web
Assessing the quality of Wikipedia articles with lifecycle based metrics
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Evaluating the trustworthiness of Wikipedia articles through quality and credibility
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
On measuring the quality of Wikipedia articles
Proceedings of the 4th workshop on Information credibility
Assigning trust to Wikipedia content
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Quality evaluation of wikipedia articles through edit history and editor groups
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Automatic Assessment of Document Quality in Web Collaborative Digital Libraries
Journal of Data and Information Quality (JDIQ)
A breakdown of quality flaws in Wikipedia
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality
Mutual evaluation of editors and texts for assessing quality of Wikipedia articles
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Hi-index | 0.00 |
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.