The popular online encyclopaedia Wikipedia is an important and influential platform that assists with the communication of science to a global audience. Using data obtained from Altmetric.com Unpaywall, we looked at research White Rose Universities (Sheffield, Leeds York) cited on Wikipedia. Of research, explored what percentage citations were...

This paper presents a novel study of geographic information implicit in the English Wikipedia archive. This project demonstrates a method to extract data from the archive with data mining, map the global distribution of Wikipedia editors through geocoding in GIS, and proceed with a spatial analysis of Wikipedia use in metropolitan cities.

Studying how vaping is framed on various knowledge dissemination platforms (e.g., Quora, Reddit, Wikipedia) central to understanding the process of around vaping. Such can help us craft tools specific each platform, dispel misperceptions and reinforce evidence-based information. We analyze 1,888 articles 1,119,453 posts study across multiple (Wikipedia, Medium, Stack Exchange, wikiHow). use NLP...

Abstract Wikipedia is one of the most visited websites worldwide. Thousands volunteers are contributing to it daily, making an example how productive non-market collaboration on a very wide scale not only viable but also sustainable. Wikipedia’s freely available data online actions conducted make popular source data, particularly for computer scientists and computational social scientists. This...

This paper explores aspects of the Chengdu Biennale (especially during 2021–22) and online art information associated with arts in Chengdu, historic capital city Sichuan, a province China. Specifically, some creating Wikimedia resources for cultural activities China are covered, using Wikipedia, Commons, Wikidata facilities. A set arts-related Wikipedia pages h...

In this work we study how people navigate the information network of Wikipedia and investigate (i) free-form navigation by studying all clicks within the English Wikipedia over an entire month and (ii) goal-directed Wikipedia navigation by analyzing wikigames, where users are challenged to retrieve articles by following links. To study how the organization of Wikipedia articles in terms of layo...

This study analyzes the differences between the category structure of the Universal Decimal Classification (UDC) system (which is one of the widely used library classification systems in Europe) and Wikipedia. In particular, we compare the emerging structure of category-links to the structure of classes in the UDC. With this comparison we would like to scrutinize the question of how do knowledg...

In this paper, we present an ontology-based system that helps users manage knowledge using Wikipedia. The system analyzes ontologies and uses the structural information about the ontologies to re-structure contents of Wikipedia for better browsing. Using the system, users can acquire knowledge easily from Wikipedia. We show how the system can be used for life science applications.

The article reports application of clustering algorithms for creating hierarchical groups within Wikipedia articles. We evaluate three spectral clustering algorithms based on datasets constructed with usage of Wikipedia categories. Selected algorithm has been implemented in the system that categorize Wikipedia search results in the fly.

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...