A coroner has suppressed the identity of a man stabbed to death in Auckland's Mt Wellington, preventing media from reporting his name or other identifying details, amid concerns over public sensitivity and media access.
How the framings classify across 7 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. 10 articles from RNZ, Stuff, NZ Herald, ODT, 1News, Newsroom and The Spinoff. Click through to the press view for the full panel.
Verbatim segments from politicians speaking on podcasts and radio shows about this topic. Sourced via the voice-reference library — each speaker has been confirmed manually from their voice clip. Click play to stream the original audio from the publisher, pre-seeked to the moment the quote starts.
Now, going by online commentary, there seems to be a strong perception that media covered up the fact that TVNZ's political editor Mikey Sherman used a homophobic slur on a colleague for nearly a year. Mike Hosking revealed this morning that TVNZ sent us at Newstalk ZB a letter threatening legal action if the story was run, and we've, of course, already revealed that members of the press gallery raised concerns with us at Newstalk ZB about us potentially running this story. James Hollings is the Massey University Journalism... legalism programme lead and former news editor and with us. Hi James.
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.
tension between satire and sensitivity in public discourse
The secret diary of .. Barry Soper and Heather du Plessis-AllanSocial-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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