Wiki Editor-Editor: Difference between revisions

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Wikipedia editors are among the few remaining public servants who we can rely on distinguish between truth and lies. Many of the first generation of editors are still around, but the future of human knowledge might depend on newcomers acquiring better understanding of how to do this effectively. Your task is to analyse what makes a Wikipedia editor effective, using the WikiData corpus to identify which patterns of editing deal with controversies, result in lasting consensus, and so on. Using the results of this analysis, create an automated interactive training guide for new editors, giving them feedback on their own patterns of response, and helping them identify how they might deal with different cases.
Wikipedia editors are among the few remaining public servants who we can rely on to distinguish between truth and lies. Many of the first generation of editors are still around, but the future of human knowledge might depend on newcomers acquiring better understanding of how to do this effectively. Your task is to analyse what makes a Wikipedia editor effective, using the WikiData corpus to identify which patterns of editing deal with controversies, result in lasting consensus, and so on. Using the results of this analysis, create an automated interactive training guide for new editors, giving them feedback on their own patterns of response, and helping them identify how they might deal with different cases.

Revision as of 18:40, 10 November 2021

Wikipedia editors are among the few remaining public servants who we can rely on to distinguish between truth and lies. Many of the first generation of editors are still around, but the future of human knowledge might depend on newcomers acquiring better understanding of how to do this effectively. Your task is to analyse what makes a Wikipedia editor effective, using the WikiData corpus to identify which patterns of editing deal with controversies, result in lasting consensus, and so on. Using the results of this analysis, create an automated interactive training guide for new editors, giving them feedback on their own patterns of response, and helping them identify how they might deal with different cases.