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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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樓主: Colossal
21#
發(fā)表于 2025-3-25 07:05:29 | 只看該作者
22#
發(fā)表于 2025-3-25 10:52:27 | 只看該作者
Tools for Truth,is to help you know what kinds of tools are available and to provide some insight into how they work. It concludes with a brief look at the role and scope of fact-checking at Google, YouTube, Facebook, and Twitter.
23#
發(fā)表于 2025-3-25 14:17:08 | 只看該作者
Avarice of Advertising,s the fake news industry: financially through ad revenue. The first half of this chapter focuses on the mechanics and scale of Google’s algorithmic ad distribution system, the extent to which it funds fake news organizations, and the reluctant steps Google has taken over the years to curtail this dangerous flow of funds.
24#
發(fā)表于 2025-3-25 17:37:12 | 只看該作者
25#
發(fā)表于 2025-3-25 20:41:08 | 只看該作者
26#
發(fā)表于 2025-3-26 01:25:55 | 只看該作者
27#
發(fā)表于 2025-3-26 04:22:17 | 只看該作者
Book 2021the 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 offe
28#
發(fā)表于 2025-3-26 12:28:07 | 只看該作者
Deepfake Deception, will see how deepfake videos have impacted politics and journalism, how the discord they sow relates to that of previous generations of image and video manipulation, and what legal and technological attempts are being made to rein them in.
29#
發(fā)表于 2025-3-26 16:23:19 | 只看該作者
Gravitating to Google,at the role fake news plays in all these contexts and what Google has done about it over the years. In doing so, I’ll take a somewhat more expansive view of the term “fake news” compared with previous chapters to include hateful racist stereotypes and bigoted misinformation.
30#
發(fā)表于 2025-3-26 19:42:14 | 只看該作者
Social Spread,ation algorithms is explored. Attention is then turned to the algorithmic tools that social media companies—primarily Facebook and Twitter—have used and could potentially use in their battle against harmful misinformation, as well as the limitations and challenges of taking algorithmic approaches to this thorny, multifaceted problem.
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