书目名称 | How Algorithms Create and Prevent Fake News | 副标题 | Exploring the Impact | 编辑 | Noah Giansiracusa | 视频video | | 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 | 图书封面 |  | 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 | 关键词 | Fake news; deepfakes; text generation; algorithmic bias; recommendation algorithms; fact-check; tech giant | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-7155-1 | isbn_softcover | 978-1-4842-7154-4 | isbn_ebook | 978-1-4842-7155-1 | copyright | Noah Giansiracusa 2021 |
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