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Communicating Artificial Intelligence (AI)
Theory, Research, and Practice




ISBN 9780367679958
Published December 29, 2020 by Routledge
134 Pages

 
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Book Description

Despite increasing scholarly attention to artificial intelligence (AI), studies at the intersection of AI and communication remain ripe for exploration, including investigations of the social, political, cultural, and ethical aspects of machine intelligence, interactions among agents, and social artifacts. This book tackles these unexplored research areas with special emphasis on conditions, components, and consequences of cognitive, attitudinal, affective, and behavioural dimensions toward communication and AI. In doing so, this book epitomizes communication, journalism and media scholarship on AI and its social, political, cultural, and ethical perspectives.

Topics vary widely from interactions between humans and robots through news representation of AI and AI-based news credibility to privacy and value toward AI in the public sphere. Contributors from such countries as Brazil, Netherland, South Korea, Spain, and United States discuss important issues and challenges in AI and communication studies. The collection of chapters in the book considers implications for not only theoretical and methodological approaches, but policymakers and practitioners alike.

The chapters in this book were originally published as a special issue of Communication Studies.

Table of Contents

Communicating Artificial Intelligence (AI): Theory, Research, and Practice

Seungahn Nah, Jasmine McNealy, Jang Hyun Kim and Jungseock Joo

1. Artificial Intelligence in the Dutch Press: An Analysis of Topics and Trends

Maurice Vergeer

2. I-It, I-Thou, I-Robot: The Perceived Humanness of AI in Human-Machine Communication

David Westermann, Autumn P. Edwards, Chad Edwards, Zhenyang Luo and Patric R. Spence

3. A Bot and a Smile: Interpersonal Impressions of Chatbots and Humans Using Emoji in Computer-mediated Communication

Austin Beattie, Autumn P. Edwards and Chad Edwards

4. Predicting AI News Credibility: Communicative or Social Capital or Both?

Sangwon Lee, Seungahn Nah, Deborah S. Chung and Junghwan Kim

5. Privacy, Values and Machines: Predicting Opposition to Artificial Intelligence

Josep Lobera, Carlos J. Fernández Rodríguez and Cristóbal Torres-Albero

6. Making up Audience: Media Bots and the Falsification of the Public Sphere

Rose Marie Santini, Debora Salles, Giulia Tucci, Fernando Ferreira and Felipe Grael

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Editor(s)

Biography

Seungahn Nah is Professor at the University of Oregon, USA. Dr Nah specializes in digital media, community, and democracy. His works have appeared in prestigious journals. He currently serves as an associate editor of the Journal of Communication and Mass Communication & Society.

Jasmine E. McNealy is Associate Professor at the University of Florida, USA. Dr McNealy specializes in media, information, and emerging technology, with a view toward influencing law and policy. Her current research focuses on privacy, surveillance, and data governance with an emphasis on marginalized communities.

Jang Hyun Kim is School Head (Chair) for School of Convergence, Sungkyunkwan University, South Korea. Dr Kim is also an Associate Professor in the Department of Interaction Science. His research interests include social/semantic network analysis, reputation/crisis communication, and future media.

Jungseock Joo is Assistant Professor in Communication at University of California, USA. His research primarily focuses on understanding multimodal human communication with computer vision and deep learning. His research has been supported by the National Science Foundation, Hellman Foundation, and other industrial sponsors. He was a research scientist at Facebook prior to joining UCLA.