Local newsrooms are using AI to listen in on public meetings
Briefly

Hannah Dellinger's article highlights the plight of Michigan's LGBTQ+ students, particularly focusing on Sebastian Eaton-Ellison, a gender-fluid student who has experienced bullying and violence since Trump's presidency. After the signing of anti-trans executive orders, hate speech has surged in schools. Dellinger, using AI transcription service LocalLens to track school board meetings, discovered Eaton-Ellison's testimony, which exemplifies the challenges faced by students advocating for their rights. The article emphasizes the critical role AI plays in easing the information gathering process for journalists covering local school issues.
Sebastian Eaton-Ellison epitomizes the struggles of Michigan's LGBTQ+ youth facing increased bullying and hate speech since the rise of anti-trans policies under Trump.
The use of AI tools like LocalLens is revolutionizing how local journalism sources information, significantly easing the burden on reporters like Dellinger.
Read at Nieman Lab
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