01066cam0 22002891 450 SOBE0005912220180516120941.0284114076820180516d1995 |||||ita|0103 bafrehebFRHagadah shel Pesaḥprésentée et commentée par Elie Wieselillustrations de Mark Podwalavec la collaboration de Serge Brodowicz pour l'édition française[Condé-sur-Noireau]FSJU/Ramsay1995152 p.ill.25 cm<<La >>Haggadah de PâqueSOBE00059123Wiesel, ElieA600200040315070Podwal, MarkSOBA00016589070Brodowicz, SergeSOBA00016590070ITUNISOB20180516RICAUNISOBUNISOB20086068SOBE00059122M 102 Monografia moderna SBNM200001897SI86068acquistoNmenleUNISOBUNISOB20180516120838.020180516120941.0menleHagadah shel Pesaḥ1729486UNISOB03373nam 2200505 450 991049214960332120230830224829.01-4842-7155-6(CKB)4100000011982276(MiAaPQ)EBC6678849(Au-PeEL)EBL6678849(OCoLC)1261364715(CaSebORM)9781484271551(EXLCZ)99410000001198227620220329d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHow algorithms create and prevent fake news exploring the impacts of social media, deepfakes, GPT-3, and more /Noah GiansiracusaNew York, New York :Apress Media LLC,[2021]©20211 online resource (239 pages)Includes index.1-4842-7154-8 1. Perils of Pageview -- 2. Crafted by Computer -- 3. Deepfake Deception -- 4. Autoplay the Autocrats -- 5. Prevarication and the Polygraph -- 6. Gravitating to Google -- 7. Avarice of Advertising -- 8. Social Spread -- 9. Tools for Truth.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. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what's at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias which gets amplified in harmful data feedback loops. Dont be afraid: with this book youll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope.Fake newsPreventionDeepfakesPreventionComputer algorithmsSocial mediaFake newsPrevention.DeepfakesPrevention.Computer algorithms.Social media.006.31Giansiracusa Noah975030MiAaPQMiAaPQMiAaPQBOOK9910492149603321How Algorithms Create and Prevent Fake News2220143UNINA