The problem of identifying trustworthy information on the World Wide Web is becoming increasingly acute as new tools such as wikis and blogs simplify and democratize publications. Wikipedia is the most extraordinary example of this phenomenon and, although a few mechanisms have been put in place to improve contributions quality, trust in Wikipedia content quality has been seriously questioned. ...

Stubs on Wikipedia often lack comprehensive information. The huge cost of editing Wikipedia and the presence of only a limited number of active contributors curb the consistent growth of Wikipedia. In this work, we present WikiKreator, a system that is capable of generating content automatically to improve existing stubs on Wikipedia. The system has two components. First, a text classifier buil...

Wikipedia is one of the largest platforms based on the concept of asynchronous, distributed, collaborative work. A systematic collaborative exploration and assessment of Wikipedia content and coverage is however still largely missing. On the one hand editors routinely perform quality and coverage control of individual articles, while on the other hand academic research on Wikipedia is mostly fo...

In recent years, the task of automatically linking pieces of text (anchors) mentioned in a document to Wikipedia articles that represent the meaning of these anchors has received extensive research attention. Typically, link-to-Wikipedia systems try to find a set of Wikipedia articles that are candidates to represent the meaning of the anchor and, later, rank these candidates to select the most...

We present an open-source toolkit which allows (i) to reconstruct past states of Wikipedia, and (ii) to efficiently access the edit history of Wikipedia articles. Reconstructing past states of Wikipedia is a prerequisite for reproducing previous experimental work based on Wikipedia. Beyond that, the edit history of Wikipedia articles has been shown to be a valuable knowledge source for NLP, but...

Wikipedia is used as a corpus for a variety of text processing applications. It is especially popular for information selection tasks, such as summarization feature identification, answer generation/verification, etc. Many Wikipedia entries (about people, events, locations, etc.) have descriptions in several languages. Often Wikipedia entry descriptions created in different languages exhibit di...

We demonstrate a twofold use of Wikipedia for cross-lingual information retrieval. As our main contribution, we exploit Wikipedia hyperlinkage for query term disambiguation. We also use bilingual Wikipedia articles for dictionary extension. Our method is based on translation disambiguation; we combine the Wikipedia based technique with a method based on bigram statistics of pairs formed by tran...

Purpose The aim of this article is to explore how trustworthy knowledge claims in Wikipedia are constructed by focusing on the everyday practices of Wikipedia editors. The article focuses particularly on the role of references to external sources for the stabilisation of knowledge in Wikipedia. Design/methodology/approach The study is inspired by online ethnography. It includes eleven Wikipedia...

Wikipedia is the world’s most successful online encyclopedia, now containing over 3.3 million English language articles. It is probably the largest collection of knowledge ever assembled, and is certainly the most widely accessible. Wikipedia can be edited by anyone with Internet access that chooses to, but does it provide reliable information? A 2005 study by Nature found that a selection of W...