Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/302497 
Year of Publication: 
2024
Series/Report no.: 
24th Biennial Conference of the International Telecommunications Society (ITS): "New bottles for new wine: digital transformation demands new policies and strategies", Seoul, Korea, 23-26 June, 2024
Publisher: 
International Telecommunications Society (ITS), Calgary
Abstract: 
The development of artificial intelligence (hereafter referred to as AI) has permeated various industrial sectors, significantly transforming organizational dynamics and strategic approaches. The rapid proliferation of information and communication technology (ICT) and the ongoing process of datafication across society have extended their impact to journalism as well (Gelgel, 2020; de-Lima-Santos & Ceron, 2021). The range of AI tools adopted in newsrooms is diverse. AI in journalism is conceptualized as a series of algorithmic processes that produce and disseminate text, images, and videos for public consumption, with minimal human oversight (Carlson, 2015a; Moran & Shaikh, 2022). However, the swift pace of technological advancement has left media companies grappling with confusion. Since the advent of AI, the processes of agenda setting, content gathering and production, and news distribution have radically evolved (Hernandez Serrano et al., 2015; Örnebring, 2010; de-Lima- Santos & Ceron, 2021). These technologies surpass conventional expectations. For instance, Open AI's GPT software series, developed through deep learning, showcases text quality remarkably akin to human writing (Floridi & Christi, 2020; Moran & Shaikh, 2022).
Subjects: 
AI
Artificial Intelligence
Journalism
Ethics
News Production
Media Technology
Document Type: 
Conference Paper

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