"SoundScout: AI-Driven Audio News Trails for Investigative Journalism"

SoundScout is a pioneering tool for investigative journalists, designed to help them uncover hidden connections and patterns in their reporting. This innovative platform uses AI to create audio “trails” that follow the threads of a story, linking key figures, events, and locations to create a rich sonic tapestry. Journalists can input keywords, names, or phrases, and SoundScout generates a dynamic audio narrative that weaves together the most relevant information. The AI-driven system also identifies potential leads, interview suggestions, and areas of further investigation, making it an invaluable resource for in-depth reporting.

SoundScout’s audio trails can be shared with colleagues, sources, or even the public, fostering collaboration and transparency in the investigative process. The platform’s advanced audio analysis capabilities also enable journalists to pinpoint specific moments, quotes, or conversations within the trail, facilitating fact-checking and verification.

To test SoundScout, we propose partnering with a small team of experienced investigative journalists to tackle a complex, real-world story. The team will input their research and sources into the platform, generating an initial audio trail. They will then use SoundScout to guide their further investigation, exploring new leads and connections. We will gather feedback on the tool’s effectiveness, user experience, and potential for future development.