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Cross-corpus analytics

Insights from the political corpus

Analytical views that cut across the news, commentary, social, and audio corpora over the trailing 6 weeks. Read top-to-bottom it tells one story: what NZ is talking about, who’s driving it, where the sides diverge, and who’s paying. Methodology →

01

What’s the country talking about?

Which channel sets the agenda, how long topics survive once they catch, and where coverage spikes in lockstep across the news, commentary, social and audio corpora at the same time.

Agenda setting Methodology →

Which channel surfaces topics first? The donut shows the overall first-mover distribution across all multi-channel topics. The table below shows channel share-of-voice per topic — where each topic’s coverage actually lives. Topics dominated by one channel (e.g. 80% social / 5% news) surface gaps between public conversation and press coverage.

6228
Social led
5358
News led
3321
Commentary led
713
Talk Radio led

Channel share-of-voice

Each cell shows what percentage of this topic’s total normalised attention comes from each channel. Raw counts are adjusted for channel volume — so social’s thousands of posts and news’s tens of articles are placed on a comparable scale. The small number underneath is the raw item count.

Topic News Commentary Social Audio Dominant channel
Government Accountability 1.6% 4 9.8% 14 85.2% 556 3.3% 1
Political Accountability To Constituents 1.9% 6 9.3% 12 88.9% 517 0.0% 0
Cost-Of-Living Crisis 8.1% 32 30.6% 43 29.0% 197 32.3% 10 Talk Radio 32%
Political Hypocrisy 0.0% 1 4.3% 3 95.7% 230 0.0% 0
Media Bias In Journalism 0.0% 0 13.8% 9 58.6% 183 27.6% 4
Election Satire 0.0% 2 0.0% 1 100.0% 171 0.0% 0
Māori Political Representation 9.4% 18 34.4% 24 37.5% 128 18.8% 3
National Identity 0.0% 0 11.1% 4 88.9% 166 0.0% 0
Supermarket Duopoly 8.9% 36 26.8% 35 14.3% 83 50.0% 14 Talk Radio 50%
Vote Splitting 3.1% 9 25.0% 19 40.6% 135 31.3% 5
Media Accountability 0.0% 2 25.0% 11 65.0% 140 10.0% 1
Online Harassment 5.9% 4 0.0% 1 82.4% 146 11.8% 1
Electorate Vote Strategic Voting 9.4% 21 28.1% 21 31.3% 104 31.3% 5
Housing Affordability 10.0% 22 36.7% 24 33.3% 102 20.0% 3 Commentary 37%
Economic Inequality 0.0% 1 15.4% 5 84.6% 117 0.0% 0
Public Trust In Democracy 5.0% 6 20.0% 10 45.0% 99 30.0% 3
Online Content Moderation 0.0% 0 28.6% 8 71.4% 104 0.0% 0
Vote Labour And Greens 0.0% 1 0.0% 0 100.0% 111 0.0% 0
Government Document Transparency 0.0% 0 9.1% 2 90.9% 109 0.0% 0
Political Misinformation 0.0% 1 9.1% 2 90.9% 102 0.0% 0

Topic lifecycle Methodology →

How long do topics persist? Each topic is classified as persistent (still near peak), decaying (fading), flash (one-week spike), or resurgent (bounced back after a dip). In the chart, the further right a topic sits the closer it still is to its peak (its momentum); the higher it sits the more total coverage it drew; bubble size is its peak week. Half-life estimates how many weeks until volume halves from peak.

Topic Class Peak Current Total Active weeks Half-life
Government Accountability persistent 109 90 575 6 18.1w
Political Accountability To Constituents persistent 115 83 535 6 10.6w
Cost-Of-Living Crisis decaying 62 28 282 6 4.4w
Political Hypocrisy persistent 53 43 234 6 16.6w
Media Bias In Journalism persistent 42 38 196 6 34.6w
Election Satire persistent 35 35 174 6 —
Māori Political Representation persistent 33 33 173 6 —
National Identity persistent 34 30 170 6 27.7w
Supermarket Duopoly decaying 72 6 168 6 1.4w
Vote Splitting decaying 54 24 168 6 4.3w
Media Accountability resurgent 52 17 154 6 3.1w
Online Harassment persistent 33 33 152 6 —
Electorate Vote Strategic Voting decaying 57 12 151 6 2.2w
Housing Affordability persistent 28 27 151 6 95.3w
Voting For National Party persistent 37 37 147 6 —
Vote Nzf decaying 52 16 124 6 2.9w
Economic Inequality decaying 35 14 123 6 3.8w
Public Trust In Democracy decaying 27 14 118 6 5.3w
Online Content Moderation persistent 26 19 112 6 11.0w
Vote Labour And Greens decaying 42 23 112 5 4.6w

Cross-channel anomaly clusters Methodology →

Topics that triggered volume spikes in two or more channels within the trailing 6 weeks. Each card shows the peak spike ratio per channel (e.g. ×5.2 means 5.2× the prior 4-week average). Synchronised anomalies are stronger signals than isolated spikes.

No cross-channel anomaly clusters detected.
02

Who’s driving the conversation?

The people the corpus is talking about — whose share of voice is rising or fading week to week, across every channel at once.

Actor trajectories Methodology →

Per-actor weekly mention volume across all channels (news, commentary, audio, social) over the trailing 6 weeks. The chart shows each actor’s total mentions per week; the table shows channel breakdown and stance sentiment from commentary sources.

Actor Party Total mentions
Chris Bishop National Party 401
Simeon Brown National Party 398
Hon Marama Davidson Green Party 222
Barbara Edmonds Labour Party 271
Paul Goldsmith National Party 237
Chris Hipkins Labour Party 1,265
Hon Willie Jackson Labour Party 112
Shane Jones New Zealand First 247
Christopher Luxon National Party 1,347
Todd McClay National Party 136
Mark Mitchell National Party 261
Rt Hon Winston Peters New Zealand First 737
David Seymour ACT New Zealand 685
Erica Stanford National Party 297
Chlöe Swarbrick Green Party 358
Louise Upston National Party 141
Rawiri Waititi Te Pāti Māori 123
Simon Watts National Party 125
Nicola WILLIS 608
Qiulae Wong The Opportunity Party 335
03

Where do left and right diverge?

The same topic, framed two ways — how critically each side covers it, and the parallel conversation happening on talk radio that the written press hasn’t picked up.

Echo chambers & framing divergence Methodology →

Topics where left-leaning and right-leaning commentary sources both have coverage (minimum 5 items per side), with per-stance breakdowns. The divergence score compares the proportion of critical coverage on each side, normalised for volume: 0% means both sides criticise the topic at the same rate; 100% means one side is entirely critical while the other is not at all. Raw stance counts are shown so you can judge the sample size yourself. Source orientation labels come from our hand-curated taxonomy.

Not enough cross-orientation coverage to measure echo chambers.

Talk radio exclusives Methodology →

Topics discussed on talk radio (transcribed audio) that are absent or minimal in written media. These represent the parallel conversation happening on air that journalists haven’t picked up — or can’t cover.

No radio-exclusive topics found.
04

Who’s paying for influence?

The disclosed money behind the messaging — donations and ad spend set against the coverage it buys, and the independent third parties and unions spending alongside the parties.

Money & narrative Methodology →

Organisations with recorded donations or Meta ad spend, alongside their media footprint. Does money correlate with coverage? Note: correlation is not causation — parties with more money tend to be larger parties that naturally attract more coverage.

Where an organisation is a tracked lobby group or think tank Lobby, its name links to the full influence dossier and we show its earned-media reach — confirmed press, radio and commentary pickups and the number of distinct outlets reached over the last year. For these groups that earned footprint is a truer read on narrative penetration than the party-mention counts, which track named MPs rather than the group itself.

No organisations with both financial data and media coverage found.

Follow the money: third-party & union spend Methodology →

Disclosed money footprint per organisation — party donations received plus independent advertising spend across the currently-observable sources. Filter by left/right to compare totals and spread; trade unions are highlighted. Independent spend is legally separate from parties — alignment is not coordination.

These are still different disclosure windows, not one comparable period — read each bar as “disclosed money we can currently see for this actor,” not spend within a single timeframe:

  • Donations — Electoral Commission >$20,000 register, disclosed in real time but only published in election years; non-election-year totals are sparse by design, not zero. We are currently in the 2026 election year.
  • Meta ads (Facebook/Instagram) — rolling, every political/issue ad in our corpus from 2020 to now.
  • Google ads (Search/YouTube) — cumulative advertiser totals over the lifetime of Google’s NZ political-ads programme.

Regulated third-party promoter returns — which carry the newspaper and other print spend no digital ad library captures — are reported per election cycle. The latest published set is from the 2023 General Election; see the per-medium breakdown on the 2023 election page. The methodology covers each source’s exact coverage and caveats.

No third-party spend data available yet.