Description: About this Item The item is a book Paperback The Author Name is Noah Giansiracusa The Title is How Algorithms Create and Prevent Fake News : Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More Condition New Other Comments Pages Count - 248. Binding type - Perfect. Content Language - English Category - COMPUTERS / Programming / Algorithms PHILOSOPHY / Ethics & Moral Philosophy COMPUTERS / Artificial Intelligence / General Product Description - "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 AtlanticFrom 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. Don't be afraid: with this book you'll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope. What You Will LearnThe ways that data labeling and storage impact machine learning and how feedback loops can occurThe history and inner-workings of YouTube's recommendation algorithmThe state-of-the-art capabilities of AI-powered text generation GPT-3 and video synthesis/doctoring deepfakes and how these technologies have been used so farThe algorithmic tools available to help with automated fact-checking and truth-detectionWho This Book is ForPeople who don't have a technical background in data, computers, etc. but who would like to learn how algorithms impact society business leaders who want to know the powers and perils of relying on artificial intelligence. A secondary audience is people with a technical background who want to explore the larger social and societal impact of their work. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 166255838
Price: 63 USD
Location: US
End Time: 2025-01-10T18:24:49.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Programming / Algorithms
Brand: APress
Weight: 0.35
Style: NA
Title: How Algorithms Create and Prevent Fake News Exploring the Impac
Release Title: How Algorithms Create and Prevent Fake News Exploring the Impac
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: How Algorithms Create and Prevent Fake News Exploring the Impa
Colour: NA
Material: NA
Department: NA
Movie/TV Title: How Algorithms Create and Prevent Fake News Exploring the Impa
UPC: 9781484271544
EAN: 9781484271544
ISBN: 9781484271544
Binding Type: Perfect
Item Height: 13.21
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: Xii, 235 Pages
Publication Name: How Algorithms Create and Prevent Fake News : Exploring the Economics of Online Journalism, Deepfakes, GPT-3, and More
Language: English
Publisher: Apress L. P.
Subject: Programming / Algorithms, Ethics & Moral Philosophy, Intelligence (Ai) & Semantics, General
Publication Year: 2021
Type: Textbook
Item Weight: 13.6 Oz
Author: Noah Giansiracusa
Item Length: 9.3 in
Subject Area: Philosophy, Computers, Science
Item Width: 6.1 in
Format: Trade Paperback
