We describe an approach to facilitating user-generated content within the context of Wikipedia. Our approach, embedded in the IntelWiki prototype, aims to make it easier for users to create or enhance the free-form text in Wikipedia articles by: i) recommending potential reference materials, ii) drawing the users’ attention to key aspects of the recommendations, and iii) allowing users to consu...

In this paper we try to answer the question how cross-lingual evidence may improve matching between di erent classi cation schemas. We concentrate speci cally on the task of mapping between Wikipedia categories and Cyc terms as well as the classi cation of Wikipedia articles to the Cyc taxonomy and show how this process may be improved by consuming the evidence that is available in di erent edi...

In this study, we explore whether Wikipedia plays a governance role in the financial market by reducing the information disadvantage of individual investors. We hypothesize that the aggregation of information on Wikipedia enables individual investors to collectively monitor insiders and institutional investors. Using the creation of a firm Wikipedia page as an information event, our empirical r...

Wikipedia is an online encyclopedia that anyone can edit. In this open model, some people edits with the intent of harming the integrity of Wikipedia. This is known as vandalism. We extend the framework presented in (Potthast, Stein, and Gerling, 2008) for Wikipedia vandalism detection. In this approach, several vandalism indicating features are extracted from edits in a vandalism corpus and ar...

This study examined the perceived credibility of user-generated (i.e. Wikipedia) versus more expertly provided online encyclopedic information (i.e. Citizendium, and the online version of the Encyclopædia Britannica) across generations. Two large-scale surveys with embedded quasi-experiments were conducted: among 11–18-year-olds living at home and among adults 18 years and older. Results showed...

Knowledge reuse is of increasing importance for organizations. Despite the extant research, we still do not adequately understand the ways peers are motivated to reuse knowledge with the help of wiki technologies. In this paper, we study the motivation for knowledge reuse in a prominent instance of online social production: Wikipedia. Studying knowledge reuse in Wikipedia is important since Wik...

The growth of Wikipedia, limited by the availability of knowledgeable authors, cannot keep pace with the ever increasing requirements and demands of the readers. In this work, we propose WikiWrite, a system capable of generating content for new Wikipedia articles automatically. First, our technique obtains feature representations of entities on Wikipedia. We adapt an existing work on document e...

The problem of identifying useful and trustworthy information on the World Wide Web is becoming increasingly acute as new tools such as wikis and blogs simplify and democratize publication. It is not hard to predict that in the future the direct reliance on this material will expand and the problem of evaluating the trustworthiness of this kind of content become crucial. The Wikipedia project r...

Internet-based social network services (SNSs) have grown increasingly popular and are producing a great amount of content. Multiple users freely post their comments in SNS threads, and extracting the gist of these comments can be difficult due to their complicated dialog. In this paper, the authors propose a system that explores this concept of the gist of an SNS thread by comparing it with Wik...

Wikipedia is a useful source of knowledge that has many applications in language processing and knowledge representation. The Wikipedia category graph can be compared with the class hierarchy in an ontology; it has some characteristics in common as well as some differences. In this paper, we present our approach for answering entity ranking queries from the Wikipedia. In particular, we explore ...