Hypotheses and Insights
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Changes at "Peer collaboration or hierarchy? The epistemic reliability of Wikipedia needs both"
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Title
- +{"en"=>"Peer collaboration or hierarchy? The epistemic reliability of Wikipedia needs both"}
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- Context
- Over the years, research has shown that Wikipedia is shaped by the interaction of two opposite dynamic\nforces. The reliability of its content seems to be a feature of what has now become established as a\nâwisdom of the crowdâ effect. The sheer multitude of people who provide input on a given topic harnesses\nthe emergence of a characteristic form of collective intelligence that makes Wikipedia&gid://indices/Decidim::Hashtag/13/39;s content solid and\ntrustworthy. On the other hand, scholars who have focused on the inner workings of Wikipediaâs social\ndynamics have highlighted how its organization reflects the so-called âiron law of oligarchyâ, that is, a\nphenomenon whereby the first generation of Wikipedians, once established, has set a very high bar for\nnew members to enter the core circle of content creators and editors. When compared to different\nwebsites and social media, Wikipedia is in fact the digital platform with the widest gap between those who\nproduce content and those who read and use it for specific purposes.
- Hypothesis
- Wikipedia has often been taken as a virtuous example of a digital platform that unleashes the power of the âwisdom of the crowdâ as enabled by Web 2.0 affordances. While the unprecedented large-scale participation in the foundation and evolution of Wikipedia is a matter of fact, research has shown that, despite the massive collective effort, Wikipedia is also characterized by a highly selective curatorial leadership, consisting of editors (i.e., the âWikipediansâ), which play a key role in its maintenance and show very high levels of commitment in terms of time and effort. Our hypothesis is that the epistemic reliability of Wikipedia needs both peer-collaboration and hyerarchy.
- Collaboration
- Related dataset URL
- https://participate.indices-culture.eu/assemblies/indicesDatasets/f/163/proposals/204
- Related insights URL
- Indicators
- Temporal network analysis toolset
- Evaluation
Version author
Version created at
26/02/2023 12:25