Do Experts or Collective Intelligence Write with More Bias? Evidence from Encyclopædia Britannica and Wikipedia
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منابع مشابه
FROM ENCYCLOPÆDIA BRITANNICA TO WIKIPEDIA Generational differences in the perceived credibility of online encyclopedia information
This study examined the perceived credibility of user-generated (i.e. Wikipedia) versus more expertly provided online encyclopedic information (i.e. Citizendium, and the online version of the Encyclopædia Britannica) across generations. Two large-scale surveys with embedded quasi-experiments were conducted: among 11–18-year-olds living at home and among adults 18 years and older. Results showed...
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Before the advent of Wikipedia, information networks were curated by a small set of subject experts. Thus the links between information nodes were based on their individual understanding of the network. Wikipedia, which is a free-access and free-content Internet encyclopedia, however allows anyone to edit almost all of its articles and thus depends heavily on community participation for creatio...
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Systematized subject classification is essential for funding and assessing scientific projects. Conventionally, classification schemes are founded on the empirical knowledge of the group of experts; thus the expert’s perspectives have influenced the current systems of the scientific classification. Those systems archived current state-of-art in practice, yet acceleration of scientific turnover ...
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Analyzing a decade of Wikipedia’s articles on US politics, we examine which aspects of collective intelligence leads to a neutral point of view. Our null hypothesis builds on Linus’ Law, often expressed as “Given enough eyeballs, all bugs are shallow.” We find a tendency toward more neutrality in Wikipedia articles on average, but only mixed support for Linus’ Law. The evidence is consistent wi...
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Community-based knowledge forums, such as Wikipedia, are susceptible to vandalism, i.e., ill-intentioned contributions that are detrimental to the quality of collective intelligence. Most previous work to date relies on shallow lexico-syntactic patterns and metadata to automatically detect vandalism in Wikipedia. In this paper, we explore more linguistically motivated approaches to vandalism de...
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تاریخ انتشار 2016