Online harassment encompasses the abuse, threats, stalking, deepfakes, and coordinated hostility directed at individuals—including politicians, public figures, and ordinary people—via social media, dating apps, and other digital platforms, and the policy and legal responses aimed at addressing it.
How the framings classify across 5 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.
widespread and persistent harm to youth
Why banning under-16s from social media is easier said than doneplatforms must enforce responsibility for threats
How rage and frustration against authority figures tips over into conspiracy and violence – and what we can do about itStacked 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. 8 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.
Governments around the globe are grappling with how to gain back control over social media giants. Labor is the latest campaign on it, promising to progress the social media ban …
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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