The piece critiques the media's failure to report on a incident where a political figure called a gay journalist a 'fa\'*t', highlighting a double standard in how such misconduct is treated compared to other public figures and calling for greater accountability and compassion.
How the framings classify across 5 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.
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.
yes i literally was writing on my notes sounds like a dick and then you beat me to that you beat me to it ben francis i'm sorry mate like come on like it might have been it sounds like all appropriate steps are taken you're right my question is that you know remember that whole brouhaha about the insolvency
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.
public interest in journalistic ethics and respect
The Huddle: What do we think of TVNZ's conduct in the Maiki Sherman saga?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 →
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