*******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@ufl.edu and spence@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 ********************************************* *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 ********************************************* <seungahn.nah@uky.edu>