A webinar explores how AI tools can address the imbalance in information access between part-time councillors and professional staff, aiming to improve democratic oversight and reduce workload disparities in local government.
How the framings classify across 3 articles. Each framing is labelled by a small AI stance classifier; see the methodology page for details.
Stacked weekly counts; colour by lean. “n/a” covers government and iwi-Māori sources where lean isn't applicable.
How this topic has been named, week by week. A new alias winning out is usually a framing shift.
How the news corpus has covered this same topic over the last 12 weeks. 4 articles from RNZ, Stuff, NZ Herald, ODT, 1News, Newsroom and The Spinoff. Click through to the press view for the full panel.
Up to 12 framings spread across orientations. Each framing is a short phrase the topic extractor generated to characterise the piece's stance — not a quote from the source. Click through to read the original.
concerned about government reliance on unethical ai
Nī Dekkers-Reihana on why you should get off the internetbuilding ai that serves national values, not global corporations
Nearly everything we use online is owned by big tech. There’s a better way forwardSocial-media signal on the same topic, drawn from the social lens. Engagement is likes + 2×shares + 3×replies, the same weighting used across the digest cards. View on /social →
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