Exploring Engagement With Complex Information: Perspectives on Generative AI as an Information Intermediary

Category: Publication

Media and Communication, peer-reviewed journal indexed in the Web of Science (Impact Factor: 2.7) and Scopus (CiteScore: 5.8), welcomes article proposals for its upcoming issue "Exploring Engagement With Complex Information: Perspectives on Generative AI as an Information Intermediary," edited by Monika Taddicken (TU Braunschweig), Esther Greussing (TU Braunschweig), Evelyn Jonas (TU Braunschweig), Ayelet Baram-Tsabari (Technion—Israel Institute of Technology), Inbal Klein-Avraham (Technion—Israel Institute of Technology), and Shakked Dabran-Zivan (Technion—Israel Institute of Technology). The thematic issue aims to facilitate a multi-perspective reflection on the intricate relationship between generative AI and public engagement with complex information. In the realm of public engagement with complex information, the thematic issue aims to understand how and for what reasons people use generative AI. The focus shall be on the potential benefits offered by generative AI to diverse audiences—evident in enhanced information access, personalized content experiences, and efficiency—and the corresponding risks of misinformation, reinforced biases, polarization, and the erosion of traditional structures of knowledge production. As such, generative AI introduces new complexities that complicate the public’s engagement with information and may challenge conventional notions of well-informed democratic discourse.

Initiator(s):
Media and Communication Journal

Deadline: 15.05.2025
Publication-Type: Article / Journal

https://www.cogitatiopress.com/mediaandcommunication/pages/view/nextissues#GenerativeAI

Post created by: Lymor Wolf Goldstein