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Envelope-to: jaisone@saraya.com.my
Delivery-date: Thu, 11 Mar 2021 01:18:23 +0800
Message-ID: <17103875538102217107436013762008@wlf0s.thermopenis.guru>
To: <jaisone@saraya.com.my>
Date: Wed, 10 Mar 2021 09:17:35 -0800
From: "Stuff Your Face" <StuffYourFace@thermopenis.guru>
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Subject:  ***SPAM***  lost 20 pounds or more, eating all the foods they love.

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uage editions of Wikipedia, historical articles and sections are generally Eurocentric and focused on recent events.[204] An editorial in The Guardian in 2014 claimed that more effort went into providing references for a list of female porn actors than a list of women writers.[205] Data has also shown that Africa-related material often faces omission; a knowledge gap that a July 2018 Wikimedia conference in Cape Town sought to address.[126] Systemic bias When multiple editors contribute to one topic or set of topics, systemic bias may arise, due to the demographic backgrounds of the editors. In 2011, Wales claimed that the unevenness of coverage is a reflection of the demography of the editors, citing for example "biographies of famous women through history and issues surrounding early childcare".[42] The October 22, 2013, essay by Tom Simonite in MIT's Technology Review titled "The Decline of Wikipedia" discussed the effect of systemic bias and policy creep on the downward trend in the number of editors.[43] Systemic bias on Wikipedia may follow that of culture generally,[vague] for example favoring certain nationalities, ethnicities or majority religions.[206] It may more specifically follow the biases of Internet culture, inclining to be young, male, English-speaking, educated, technologically aware, and wealthy enough to spare time for editing. Biases, intrinsically, may include an overemphasis on topics such as pop culture, technology, and current events.[206] Taha Yasseri of the University of Oxford, in 2013, studied the statistical trends of systemic bias at Wikipedia introduced by editing conflicts and their resolution.[207][208] His research examined the counterproductive work behavior of edit warring. Yasseri contended that simple reverts or "undo" operations were not the most significant measure of counterproductive behavior at Wikipedia and relied instead on the statistical measurement of detecting "reverting/reverted pairs" or "mutually reverting edit pairs". Such a "mutually reverting edit pair" is defined where one editor reverts the edit of another editor who then, in sequence, returns to revert the first editor in the "mutually reverting edit pairs". The results were tabulated for several language versions of Wikipedia. The English Wikipedia's three largest conflict rates belong

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