Socio-Cultural Artificial Intelligence (SCAI) and Journalism

Małgorzata, Winiarska-Brodowska; Katalin, Feher [Fehér, Katalin (AI társadalom és ...), szerző] Társadalmi Kommunikáció Tanszék (NKE / ÁNTK); Tudomány és Társadalom Kutatóműhely (NKE / ÁNTK)

Angol nyelvű Szaktanulmány (Könyvrészlet) Tudományos
    Szakterületek:
    • Média és szocio-kulturális kommunikáció
    • Mesterséges intelligencia és döntéstámogatás
    • Újságírás
    This chapter aims to map the stock of knowledge landscape surrounding artificial intelligence (AI) and journalism-related theories. It enhances a previously conducted systematic review with a novel exploration of the current research. This approach offers a comprehensive overview of the past fifteen years (2009–2023), shedding light on recent academic endeavours that reveal trending areas within socio-cultural artificial intelligence (SCAI). To further contribute to this research direction, we explore the growing SCAI areas, with a particular focus on media and communication studies. This discipline is prominently featured in SCAI discussions and continues to hold substantial potential for development, thus necessitating more in-depth exploration. According to the findings, research has predominantly concentrated on three main themes namely (1) the evolving news industry and the rise of automated journalism, (2) the challenges posed by disinformation, and (3) disruptive communication processes, particularly in the context of political communication. This chapter's analysis explores the profound impact of AI-driven media across societal and cultural dimensions. It investigates how journalism is theoretically framed within leading academic journals, highlighting the role of AI in shaping these narratives. Therefore, the study offers insights into the current state of media and communication studies as they converge with AI and journalism. It illuminates emerging theories that advocate for the development of responsible and trustworthy technologies within cultural and societal frameworks through a transdisciplinary approach.
    Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
    2026-02-18 15:31