Paper Number

1002

Paper Type

CRP

Abstract

Wikis provide an easy and efficient way to aggregate and share knowledge. The currency of wikis is of enormous importance as it is correlated to user satisfaction. Existing approaches for currency assessment of wiki articles do not consider the collaborative nature of wikis that allows for quick updates. Against this background, we propose a novel approach for assessing the currency of wiki articles that considers both events that cause wiki articles to become outdated and the collaborative nature of wikis allowing for quick updates of the wiki articles after such events. It is designed as a five-step process that allows for replicable and automatic application. Thus, it improves the tedious process of manually assessing the currency of wiki articles. We demonstrate the practical applicability and evaluate its effectiveness in a real-world setting with Wikipedia. Results demonstrate that the approach discriminates well between up-to-date and outdated articles.

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Jun 14th, 12:00 AM

Currency Assessment of Wiki Articles: A Novel Event-Based, Content-Aware Approach

Wikis provide an easy and efficient way to aggregate and share knowledge. The currency of wikis is of enormous importance as it is correlated to user satisfaction. Existing approaches for currency assessment of wiki articles do not consider the collaborative nature of wikis that allows for quick updates. Against this background, we propose a novel approach for assessing the currency of wiki articles that considers both events that cause wiki articles to become outdated and the collaborative nature of wikis allowing for quick updates of the wiki articles after such events. It is designed as a five-step process that allows for replicable and automatic application. Thus, it improves the tedious process of manually assessing the currency of wiki articles. We demonstrate the practical applicability and evaluate its effectiveness in a real-world setting with Wikipedia. Results demonstrate that the approach discriminates well between up-to-date and outdated articles.

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