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Algorithmic Audience in the Age of Artificial Intelligence

Algorithmic Audience in the Age of Artificial Intelligence
Author: Roselyn Du
Publisher: AEJMC - Peter Lang Scholarsourcing Series
Total Pages: 0
Release: 2023
Genre: Artificial intelligence
ISBN: 9781433173592
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Algorithmic Audience in the Age of Artificial Intelligence employs a mix-methods approach to examine and interpret the algorithmic news consumption phenomenon from several inter-related perspectives, including tailored communication, customization, gatekeeping, agenda-resisting, algorithmic literacy, and news literacy. Potential implications for an empowered or rather (information-) cocooned public are explored. The research aims to illuminate the renewed relationship between media and audience and the effects on users of algorithmic processes. The aim of the book is multifaceted: (1) to describe the phenomenon of AI-based news recommendation; (2) to explore the user experience of consuming recommended news; (3) to analyze the effects that algorithmic news consumption has on the audiences; (4) to raise awareness of the impact of algorithmic news consumption; (5) to inform the public, technocrats, and policy makers of the effects of algorithmic news consumption; and (6) to guide debate on ethical decision-making and possible policy change. Through an empirical investigation process, this volume examines algorithmic news consumption from a user perspective and dissects the complex effects caused by such consumption. This book is suitable to be a primary text for undergraduate-level courses relating to media literacy issues and graduate-level courses with a particular focus on audience analysis in the age of artificial intelligence. It can also serve as a supplemental text for core courses in media/communication studies, such as Introduction to Communication, Current Issues in Communication, Communication Theory, and Communication Ethics. "This comprehensive work uses original research to both focus and expand our understanding about the ways that the growing consumption of algorithmic news will impact both the news media business and participatory democracy. It provides sharp new insights at a critical moment in the evolution of journalism." --Ryan Thornburg, Associate Professor of Journalism, School of Journalism and Media, University of North Carolina at Chapel Hill "Roselyn Du's book is a roadmap to understanding how the audience of today's news are grappling with tailored communication, information cocoons, algorithmic literacy, and news literacy. This book is timely, insightful, and methodologically rigorous. This is a must read for students and scholars interested in algorithms and journalism." --Kerk F Kee, Associate Professor of Media & Communication, Texas Tech University "Guided by key theoretical considerations, this timely text details comprehensive empirical investigation of the effects of algorithmic news recommendations on news appreciation, news literacy, and public agenda priorities. Findings suggest that algorithmic news consumption may not be as dangerous as presumed and warned. A significant contribution of this work is support for the theoretical development of a renewed conception of the active audience and the redefinition of agenda-setting. A compelling case is made for the importance of research on algorithms and artificial intelligence for understanding the future of journalism and civic society." --Cynthia King, Professor of Communication, California State University, Fullerton

Competing in the Age of AI

Competing in the Age of AI
Author: Marco Iansiti
Publisher: Harvard Business Press
Total Pages: 175
Release: 2020-01-07
Genre: Business & Economics
ISBN: 1633697630
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"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

A Human's Guide to Machine Intelligence

A Human's Guide to Machine Intelligence
Author: Kartik Hosanagar
Publisher: Penguin
Total Pages: 274
Release: 2020-03-10
Genre: Business & Economics
ISBN: 0525560904
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A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.

Automating the News

Automating the News
Author: Nicholas Diakopoulos
Publisher: Harvard University Press
Total Pages: 304
Release: 2019-06-10
Genre: Language Arts & Disciplines
ISBN: 0674239318
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From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. Nicholas Diakopoulos explains the present and future of a world in which algorithms have changed how the news is created, disseminated, and received, and he shows why journalists—and their values—are at little risk of being replaced.

Algorithmic Culture

Algorithmic Culture
Author: Stefka Hristova
Publisher: Rowman & Littlefield
Total Pages: 219
Release: 2020-11-24
Genre: Social Science
ISBN: 1793635749
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Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.

Handbook of Applied Journalism

Handbook of Applied Journalism
Author: Leon Barkho
Publisher: Springer Nature
Total Pages: 628
Release:
Genre:
ISBN: 3031487397
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From Likes to AI: Unraveling the Impact of Artificial Intelligence on Social Media

From Likes to AI: Unraveling the Impact of Artificial Intelligence on Social Media
Author: M.B. Chatfield
Publisher:
Total Pages: 143
Release:
Genre: Business & Economics
ISBN:
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In today's hyperconnected world, social media has become an indispensable part of our lives, shaping the way we connect, communicate, and consume information. But behind the endless scroll of posts and the Likes that fuel our engagement lies a powerful force that is fundamentally altering the landscape of social media – artificial intelligence (AI). This comprehensive guide takes you on a journey into the world of AI algorithms, demystifying their intricate workings and revealing their profound impact on our social media experiences. Dive into the intricacies of algorithmic curation, understanding how AI algorithms determine which content appears in your news feed, who you're connected with, and the advertisements that follow you across the web. Explore the ethical and societal implications of AI in social media, examining its potential to amplify biases, echo chambers, and misinformation. Gain insights into responsible AI practices, ensuring that these algorithms are used ethically and equitably to promote a more informed and inclusive social media experience. Discover how AI can be harnessed for positive social change, empowering marginalized voices, promoting social justice, and fostering meaningful connections between individuals and communities. Learn how AI is being used to combat misinformation, counter hate speech, and promote social cohesion. Whether you're a social media enthusiast, a business owner, or a social impact advocate, this book equips you with the knowledge and understanding to navigate the complex world of AI on social media. Make informed decisions, embrace the transformative power of AI, and shape a future where social media platforms serve as catalysts for informed, inclusive, and impactful engagement. Embark on this journey of discovery and unravel the profound impact of AI on social media. Order your copy today and become a critical thinker in the digital age!

The Future of Social Media: AI's Impact on Communication

The Future of Social Media: AI's Impact on Communication
Author: M.B. Chatfield
Publisher:
Total Pages: 119
Release:
Genre: Computers
ISBN:
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Dear Reader, Are you interested in learning more about the future of social media? If so, then The Future of Social Media is the perfect book for you. In this book, you will learn about how AI is changing the way we communicate on social media. You will learn about how AI is being used to create personalized content, recommend new connections, and detect and remove harmful content. This book is essential reading for anyone who wants to understand the future of social media. It is also a great resource for businesses that want to use AI to improve their social media marketing campaigns. So what are you waiting for? Order your copy today and start learning more about the future of social media! Sincerely, The Author

The Algorithmic Age

The Algorithmic Age
Author: Barrett Williams
Publisher: Barrett Williams
Total Pages: 116
Release: 2024-08-23
Genre: Computers
ISBN:
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**The Algorithmic Age Unlocking the Power and Potential of Algorithms** Step into a world where algorithms shape every aspect of our lives, often unseen but ever present. "The Algorithmic Age" is your ultimate guide to understanding the invisible forces that power our digital world. From the most sophisticated search engines to the predictive models in healthcare, this eBook unravels the complexities of algorithms with clarity and insight. Begin your journey with Chapter 1, where you'll explore the origins and definitions of algorithms, setting the stage for a comprehensive exploration. Discover how early search engines evolved into the incredibly smart systems we rely on today in Chapter 2. Understand the vital role of big data as you dive into Chapter 3, which details the processes of data collection, cleaning, and the critical ethical considerations involved. Chapter 4 opens the door to the fascinating world of machine learning, distinguishing between supervised and unsupervised learning, and explaining how neural networks and deep learning are transforming modern technology. Ever wondered how platforms like Netflix seem to know exactly what you want to watch next? Chapter 5 breaks down recommendation systems and their advanced filtering techniques. From social media algorithms that curate your feed (Chapter 6) to financial algorithms that make trading more efficient (Chapter 7), this book covers a vast array of applications, making complex topics accessible. Explore how algorithms are revolutionizing healthcare in Chapter 8, paving the way for predictive diagnoses and personalized treatments. Learn about the cutting-edge technology behind autonomous vehicles in Chapter 9, and the fascinating processes that enable these cars to navigate safely. Dive into the realm of natural language processing (Chapter 10), gaming algorithms (Chapter 11), and cybersecurity measures (Chapter 12), which are crucial in defending our digital frontiers. Discover the unexpected creative potential of algorithms in art and music (Chapter 13). Finally, consider the profound ethical dilemmas presented by algorithms in Chapter 14, and gaze into the future of this technology with Chapter 15, examining advancements in AI and quantum computing. "The Algorithmic Age" not only explains how algorithms work but also offers a deep dive into their transformative impact on our present and future. Don’t miss out on this essential read for anyone eager to understand the engine behind our digital age!

Art in the Age of Machine Learning

Art in the Age of Machine Learning
Author: Sofian Audry
Publisher: MIT Press
Total Pages: 215
Release: 2021-11-23
Genre: Art
ISBN: 0262367106
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An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.