This piece argues that opaque AI algorithms on digital platforms are undermining trust in news, spreading misinformation, and threatening the survival of local journalism, calling for greater transparency, AI content labelling, and public media literacy.
How the framings classify across 6 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. 3 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.
understanding of internal workings remains limited and speculative
Why the US government shut down Anthropic’s latest Claude AI modelconcern over corporate opacity in AI development
Palantir’s manifesto is pure AI Technofascism – shouldn’t expelling Peter Thiel be a national security issue?Social-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 →
Spotted something wrong on this page? Report a correction.
