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Titlebook: How Algorithms Create and Prevent Fake News; Exploring the Impact Noah Giansiracusa Book 2021 Noah Giansiracusa 2021 Fake news.deepfakes.te

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發(fā)表于 2025-3-21 17:04:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱How Algorithms Create and Prevent Fake News
副標(biāo)題Exploring the Impact
編輯Noah Giansiracusa
視頻videohttp://file.papertrans.cn/429/428549/428549.mp4
概述Fully grasp the impact of the economics of contemporary journalism working in cohesion with the hidden machine learning algorithms at places such as Google, YouTube, and Facebook.Explore examples wher
圖書封面Titlebook: How Algorithms Create and Prevent Fake News; Exploring the Impact Noah Giansiracusa Book 2021 Noah Giansiracusa 2021 Fake news.deepfakes.te
描述."It‘s a joy to read a book by a mathematician who knows how to write. [...]?There is no better guide to the strategies and stakes of this battle for the future.".---Paul Romer, Nobel Laureate, University Professor in Economics at NYU, and former Chief Economist at the World Bank.??.“By explaining the flaws and foibles of everything from Google search to QAnon—and by providing level-headed evaluations of efforts to fix them—Noah Giansiracusa offers the perfect starting point for anyone entering the maze of modern digital media.”.—.Jonathan Rauch, senior fellow at the Brookings Institute and contributing editor of?.The Atlantic.From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what’s real and what’s not, bringing a whole new algorithmic side to fake news.?On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media.?Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning---especially when it comes to discerning the truth and differentiating fact from fiction.?.T
出版日期Book 2021
關(guān)鍵詞Fake news; deepfakes; text generation; algorithmic bias; recommendation algorithms; fact-check; tech giant
版次1
doihttps://doi.org/10.1007/978-1-4842-7155-1
isbn_softcover978-1-4842-7154-4
isbn_ebook978-1-4842-7155-1
copyrightNoah Giansiracusa 2021
The information of publication is updating

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Noah Giansiracusaring the pastfour decades. .Axiomatic Bargaining Game Theory. provides achapter on noncooperative models of bargaining, in particular on thosemodels leading to bargaining solutions that also result from theaxiomatic approach. .The main existing axiomatizations of solutions for .coalitional..bargaini
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Book 2021the detection of fake news and doctored media.?Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning---especially when it comes to discerning the truth and differentiating fact from fiction.?.T
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Perils of Pageview,s cycle, I hope in this chapter to convey the alarming extent that data, unseen to most of us yet created by our actions and activities, is fundamentally shaping what we read every day and threatening the bulwark of traditional journalistic standards.
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