A personal narrative from a New Zealand book explores the daily struggles of a man on bail, highlighting systemic failures in justice, housing, and social support that exacerbate poverty and recidivism.
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. 1 article 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.
financial savings through automated cancellations
$55m less in benefit payments as Govt automates welfare decisions under urgencyportrayed as neglectful and harmful to vulnerable groups
From Eminem to Michael Jackson: watching the budget debateSocial-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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