Unpacking the Structure of Knowledge Diffusion in Wikipedia: Local Biases, Noble Prizes and the Wisdom of Crowds
نویسندگان
چکیده
This paper investigates the diffusion of around 100,000 articles about literary authors in 52 versions of Wikipedia. We studied how Wiki versions replicate articles of authors belonging to a particular linguistic group and we collected findings about the potential mechanisms governing the replication process and its fairness. Results showed that diffusion of articles follows a power law, governed by strong preferences among versions, with a high number of isolated articles only present in one Wikipedia version. We found that the English Wiki has a prominent role in diffusing knowledge. However, results also showed that other Wikipedia versions were fundamental to building a rich global corpus of knowledge. Classical Greek and Latin authors resulted the most replicated set of entries. We found that geographic proximity and linguistic similarity was pivotal to explaining mutual links between Wikis. Finally, despite the presence of preference mechanisms, we found how the relative importance that each Wikipedia versions assigns to the set of authors of each language is significantly correlated with an expert-based ranking built on the outcome of various international literary awards, including the Nobel Prize. Moreover, we showed how Wikipedia exhibits a strong Wisdom of Crowds effect, with the collective opinion of all the Wikipedia versions showing a correlation with the experts higher than any individual Wikipedia version, with a value for Pearson's’ r of about 0.9.
منابع مشابه
Wisdom of the Crowds: Decentralized Knowledge Construction in Wikipedia
Recently, Nature published an article comparing the quality of Wikipedia articles to those of Encyclopedia Britannica (Giles 2005). The article, which gained much public attention, provides evidence for Wikipedia quality, but does not provide an explanation of the underlying source of that quality. Wikipedia, and wikis in general, aggregate information from a large and diverse author-base, wher...
متن کاملThe Role of AI in Wisdom of the Crowds for the Social Construction of Knowledge on Sustainability
One of the original applications of crowdsourcing the construction of knowledge is Wikipedia, which relies entirely on people to contribute, extend, and modify the representation of knowledge. This paper presents a case for combining AI and wisdom of the crowds for the social construction of knowledge. Our social-computational approach to collective intelligence combines the strengths of human ...
متن کاملWised Semi-Supervised Cluster Ensemble Selection: A New Framework for Selecting and Combing Multiple Partitions Based on Prior knowledge
The Wisdom of Crowds, an innovative theory described in social science, claims that the aggregate decisions made by a group will often be better than those of its individual members if the four fundamental criteria of this theory are satisfied. This theory used for in clustering problems. Previous researches showed that this theory can significantly increase the stability and performance of...
متن کاملPower of the Few vs. Wisdom of the Crowd: Wikipedia and the Rise of the Bourgeoisie
Wikipedia has been a resounding success story as a collaborative system with a low cost of online participation. However, it is an open question whether the success of Wikipedia results from a “wisdom of crowds” type of effect in which a large number of people each make a small number of edits, or whether it is driven by a core group of “elite” users who do the lion’s share of the work. In this...
متن کاملWisdom of crowds versus wisdom of linguists - measuring the semantic relatedness of words
In this article, we present a comprehensive study aimed at computing semantic relatedness of word pairs. We analyze the performance of a large number of semantic relatedness measures proposed in the literature with respect to different experimental conditions, such as (i) the datasets employed, (ii) the language (English or German), (iii) the underlying knowledge source, and (iv) the evaluation...
متن کامل