Debate surrounding the professional and social consequences of using homophobic slurs in New Zealand public life and media, including the circumstances of TVNZ political editor Maiki Sherman's resignation and a Gore District councillor's use of such language.
How the framings classify across 11 articles. Each framing is labelled by a small AI stance classifier; see the methodology page for details.
Up to 12 framings across outlets and orientations — each a short phrase the extractor generated to characterise the piece's editorial angle (not a quote). Filter by lean to see how each bloc is spinning the story; click through to read the original.
a serious breach of professional conduct and cultural values
Democracy Briefing: Maiki Sherman and the media that ate itselfLobby groups, unions, think tanks and industry bodies whose own releases or whose people’s media appearances touched this topic over the last 12 months. Owned = their own press releases; earned = their people quoted across radio, press & commentary. A card carried in both — with the release coming first — is the agenda-setting signal. Co-occurrence isn’t proof a group drove the coverage.
inconsistency in enforcement
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. 11 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 …
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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