| Web references|
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Web references is included as keyword or extra keyword in 0 datasets, 0 tools and 2 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Supporting factual statements with evidence from the web||Leong C.W.
|ACM International Conference Proceeding Series||English||2012||Fact verification has become an important task due to the increased popularity of blogs, discussion groups, and social sites, as well as of encyclopedic collections that aggregate content from many contributors. We investigate the task of automatically retrieving supporting evidence from the Web for factual statements. Using Wikipedia as a starting point, we derive a large corpus of statements paired with supporting Web documents, which we employ further as training and test data under the assumption that the contributed references to Wikipedia represent some of the most relevant Web documents for supporting the corresponding statements. Given a factual statement, the proposed system first transforms it into a set of semantic terms by using machine learning techniques. It then employs a quasi-random strategy for selecting subsets of the semantic terms according to topical likelihood. These semantic terms are used to construct queries for retrieving Web documents via a Web search API. Finally, the retrieved documents are aggregated and re-ranked by employing additional measures of their suitability to support the factual statement. To gauge the quality of the retrieved evidence, we conduct a user study through Amazon Mechanical Turk, which shows that our system is capable of retrieving supporting Web documents comparable to those chosen by Wikipedia contributors.||0||0|
|The people's encyclopedia under the gaze of the sages: a systematic review of scholarly research on Wikipedia||Chitu Okoli
Finn Årup Nielsen
|English||2012||Wikipedia has become one of the ten most visited sites on the Web, and the world’s leading source of Web reference information. Its rapid success has inspired hundreds of scholars from various disciplines to study its content, communication and community dynamics from various perspectives. This article presents a systematic review of scholarly research on Wikipedia. We describe our detailed, rigorous methodology for identifying over 450 scholarly studies of Wikipedia. We present the WikiLit website (http wikilit dot referata dot com), where most of the papers reviewed here are described in detail. In the major section of this article, we then categorize and summarize the studies. An appendix features an extensive list of resources useful for Wikipedia researchers.||15||1|