The debate in New Zealand over the use, regulation, and legal treatment of hate speech, including calls for stronger protections against hateful rhetoric targeting politicians and minority groups, and the tension between anti-hate-speech measures and free speech principles.
How the framings classify across 4 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.
demonstrating a shared ideological pathology
Tommy Robinson and Israel’s Flag Day – 2 sides of the same fascismLobby 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.
labeling family values as misinformation or bigotry
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.
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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