Research Handbook on Artificial Intelligence and Communication

Edited by Seungahn Nah, Professor, Inaugural Dianne Snedaker Chair in Media Trust and Research Director, Consortium on Trust in Media and Technology, College of Journalism and Communications, University of Florida, US

• Contents: Preface xviIntroduction to the Research Handbook on Artificial Intelligence and Communication xviiSeungahn NahPART I MAPPING RESEARCH ON ARTIFICIAL INTELLIGENCE AND COMMUNICATION1 A systematic review of scholarship in AI and communication research (1990–2022) 2Sumita Louis and Seungahn Nah2 AI-integrated communication: conceptualization and a critical review 29Donghee Yvette Wohn and Mashael Almoqbel3 Toward a sociology of machines: an interviewing methodology for human–machine communication 44Cait Lackey4 Discovering developmental trajectories and trends of conversational agent research using dynamic topic modeling 58Hüseyin Özçinar and Aylin Sabanci Bayramoğlu5 A systematic review of scholarship on metaverse 79Jun Luo, Sumita Louis, and Seungahn NahPART II FRAMING ARTIFICIAL INTELLIGENCE6 AI in schools and universities: mapping central debates through enthusiasms and concerns 94Kristjan Kikerpill and Andra Siibak7 How news organizations and journalists understand artificial intelligence: application of news language database to AI-related news stories 108Jeongsub Lim8 AI in Portugal: news framing, tone, and sources 125Paulo Nuno Vicente 9 AI bias, news framing, and mixed-methods approach 145Jun Luo, Seungahn Nah, and Jungseock JooPART III PUBLIC UNDERSTANDING OF ARTIFICIAL INTELLIGNECE10 Risk perceptions and trust mechanisms related to everyday AI 163Hichang Cho and Rosalie Hooi11 Fearing the future: examining the conditional indirect correlation of attention to artificial intelligence news on artificial intelligence attitudes 176Alex Kirkpatrick, Jay D. Hmielowski, and Amanda Boyd12 A machine-learning approach to assessing public trust in AI-powered technologies 193Poong Oh and Younbo Jung13 Machine learning and deep learning for social science: a bibliometric approach 214Jang Hyun Kim and Dongyan Nan14 AI and data-driven political communication (re)shaping citizen–government interactions 231Jérôme Duberry15 AI folk tales: how nontechnical publics make sense of artificial intelligence 246Barbara Pohl and Lauri GoldkindPART IV INTERACTING WITH ARTIFICIAL INTELLIGENCE16 Facilitating stakeholder communication around AI-enabled systems and business processes 268Matthew Bundas, Chasity Nadeau, Thanh H. Nguyen, Jeannine Shantz, Marcello Balduccini, Edward Griffor, and Tran Cao Son17 The levels of automation and autonomy in the AI-augmented newsroom: toward a multi-level typology of computational journalism 284Hannes Cools, Baldwin Van Gorp, and Michaël Opgenhaffen18 AI as communicative other: critical relationality in human–AI communication 300Marco Dehnert 19 Needs and practices for AI-mediated messaging in uncertain circumstances 315Adam M. Rainear, Patric R. Spence, and Kenneth A. Lachlan20 Why wasn’t I ready for that? Suggestions and research directions for the use of machine agents in organizational life 325Patric R. Spence21 The Media Are Social Actors paradigm and beyond: theory, evidence, and future research 337Kun Xu, Fanjue Liu, Xiaobei Chen, and Matthew LombardPART V POLICING ARTIFICIAL INTELLIGENCE22 Evaluating the self-disclosure of personal information to AI-enabled technology 355Jessica K. Barfield23 To reimagine more deeply: understanding what AI communicates 376John S. Seberger, Hyesun Choung, and Prabu David24 Automated inequalities: examining the social implications of artificial intelligence in China 391Bibo Lin and Joanne Kuai25 Design + power: policy for the ecology of influence 405Jasmine McNealyIndex 418

‘This is an essential and refreshing collection of work that examines some of the most crucial questions facing our communication and media systems. It is sure to help guide research over the next decade.’