Improving Wikipedia's accuracy: Is edit age a solution?
|Improving Wikipedia's accuracy: Is edit age a solution?|
|Author(s)||Brendan Luyt, Tay Chee Hsien Aaron, Lim Hai Thian, Cheng Kian Hong|
|Published in||J. Am. Soc. Inf. Sci. Technol.|
|Keyword(s)||error correction; Internet information resources; editing; accuracy; temporal currency|
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Improving Wikipedia's accuracy: Is edit age a solution? is a 2008 journal article written in English by Brendan Luyt, Tay Chee Hsien Aaron, Lim Hai Thian, Cheng Kian Hong and published in J. Am. Soc. Inf. Sci. Technol..
Wikipedia is fast becoming a key information source for many despite criticism that it is unreliable and inaccurate. A number of recommendations have been made to sort the chaff from the wheat in Wikipedia, among which is the idea of color-coding article segment edits according to age (Cross, 2006). Using data collected as part of a wider study published in Nature, this article examines the distribution of errors throughout the life of a select group of Wikipedia articles. The survival time of each error edit in terms of the edit counts and days was calculated and the hypothesis that surviving material added by older edits is more trustworthy was tested. Surprisingly, we find that roughly 20% of errors can be attributed to surviving text added by the first edit, which confirmed the existence of a first-mover effect (Viegas, Wattenberg, & Kushal, 2004) whereby material added by early edits are less likely to be removed. We suggest that the sizable number of errors added by early edits is simply a result of more material being added near the beginning of the life of the article. Overall, the results do not provide support for the idea of trusting surviving segments attributed to older edits because such edits tend to add more material and hence contain more errors which do not seem to be offset by greater opportunities for error correction by later edits.
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Cited byThis publication has 2 citations. Only those publications available in WikiPapers are shown here:
- A hypersocial-interactive model of Wiki-mediated writing: Collaborative writing in a fan & gamer community
- What We Know About Wikipedia: A Review of the Literature Analyzing the Project(s)