[Air-L] [HMC Special Issue CFPs] Communicating Generative AI and ChatGPT: Theory, Research, and Practice

[Seungahn Nah]

*******Apologies for cross-posting********
*Special Issue Call for Papers: Communicating Generative AI and ChatGPT:
Theory, Research, and Practice*
*Editors:* - Seungahn Nah (University of Florida) - Patric Spence
(University of Central Florida)
*Description:* The advent of Generative Artificial Intelligence (GenAI) and
advanced conversational models, such as ChatGPT, has ushered in a new era
in human-machine interactions. These technologies, with their capacity for
generating human-like text and engaging in meaningful conversations, have
transcended disciplinary boundaries, impacting fields beyond communication
studies (Hepp et al., 2023; Nah, 2023). This special issue aims to explore
the intricate dynamics of human-AI communication and its implications
across diverse disciplines.
*Topics of Interest:* We invite researchers, scholars, and practitioners
from various disciplines, including but not limited to Communication
Studies, Computer Science, Psychology, Sociology, Ethics, Linguistics, and
beyond, to contribute original research papers on topics such as:
1. Theoretical Frameworks: Advancements in theoretical models for
understanding communication in the age of Generative AI, exploring
interdisciplinary perspectives that incorporate sociocultural,
psychological, linguistic, and technological viewpoints.
2. Empirical Studies: Interdisciplinary investigations into the impact of
conversational AI models like ChatGPT on human-machine interaction,
encompassing user engagement, cognitive aspects, and sociological
implications.
3. Ethical Considerations: In-depth explorations of ethical dimensions
related to the development, deployment, and usage of conversational AI,
addressing interdisciplinary issues such as bias, privacy, transparency,
and accountability.
4. Design Principles: Collaborative approaches and design principles for
creating effective communication between humans and AI systems, with
insights from human-computer interaction, user experience, and design
thinking.
5. Practical Applications: Cross-disciplinary case studies and empirical
evidence of practical applications of ChatGPT across various domains,
including journalism, political communication,
health/environment/science/risk and crisis communication,
advertising/PR/marketing communication, and more.
6. User Perceptions: Multidisciplinary investigations into user
perceptions, attitudes, and behaviors regarding AI-generated content and
communication, examining the socio-psychological factors influencing public
acceptance and adoption of GenAI.
*Deadline:* Submissions are due *1st September, 2024*; the publication date
will be spring 2025.
For more information or questions, please contact the guest editors at
snah at ufl.edu and spence at ucf.edu
All manuscripts should be submitted via the journal’s online submission
system (https://stars.library.ucf.edu/hmc/) with the remark, “Special
Issue” in the cover letter. In the online submission system, there will be
a drop-down menu under Document Type. Please choose “Special Issue
Submission.” For formatting and length specifications, please see the
journal’s Instructions for Authors.
*References:*
Hepp, A., Loosen, W., Dreyer, S., Jarke, J., Kannengießer, S., Katzenbach,
C., Malaka, R., Pfadenhauer, M., Puschmann, C., & Schulz, W. (2023).
ChatGPT, LaMDA, and the hype around communicative AI: The automation of
communication as a field of research in media and communication studies.
Human-Machine Communication, 6, 41-63. https://doi.org/10.30658/hmc.6.4
Nah, S. (2023). Research handbook on artificial intelligence and
communication. Northampton, MA: Edward Elgar Publishing
All the best,

SEUNGAHN

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*SEUNGAHN NAH, Ph.D. *
Dianne Snedaker Endowed Professor in Media Trust
Research Director, Consortium on Trust in Media and Technology (CTMT)
College of Journalism and Communications
University of Florida
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<seungahn.nah at uky.edu>