Group items tagged

Wikipedia stands as an undeniable success in online participation and collaboration. However, previous attempts at studying collaboration within Wikipedia have focused on simple metrics like rigor (i.e., the number of revisions in an article's revision history) and diversity (i.e., the number of authors that have contributed to a given article) or have made generalizations about collaboration within Wikipedia based upon the content validity of a few select articles. By looking more closely at metrics associated with each extant Wikipedia article (N=3,427,236) along with all revisions (N=225,226,370), this study attempts to understand what collaboration within Wikipedia actually looks like under the surface. Findings suggest that typical Wikipedia articles are not rigorous, in a collaborative sense, and do not reflect much diversity in the construction of content and macro-structural writing, leading to the conclusion that most articles in Wikipedia are not reflective of the collaborative efforts of the community but, rather, represent the work of relatively few contributors.

You can learn a lot about the world from Wikipedia, sometimes without reading the articles. Kalev Leetaru, a researcher at the University of Illinois, has been looking at the capacious volunteer-written encyclopedia as a Big Data resource, concentrating on the connections between cities around the globe over time. To understand these connections, he focuses on the type of language used to talk about a particular place, to see whether the writers have a generally positive or negative sentiment toward the place at that time.

This one came about because I was searching for a data set on horror films (don't ask) and ended up with one describing the links between philosophers. To cut a long story very short I've extracted the information in the influenced by section for every philosopher on Wikipedia and used it to construct a network which I've then visualised using gephi It's an easy process to repeat. It could be done for any area within Wikipedia where the information forms a network. I chose philosophy because firstly the influences section is very well maintained and secondly I know a little bit about it. At the bottom of this post I've described how I got there.

Over the past decade or so, the Internet has become a huge source of information and education, especially for those who might be short on time, money or other resources. And it's not just crowdsourced data collections like Wikipedia or single-topic blogs that encourage individual learning; huge corporations and nonprofits are making online education and virtual classrooms a very formal affair these days.