Klima - cross-fraction topoi
Topic filter: speech_topics.topic_label = "Umwelt". Showing only speeches the stance pass labelled deploy (speaker is using this frame as their own argument). Stance labels from gpt-4o-mini on run 2026-05-25.
| Rhetorical pattern | AfD 84 speeches in topic |
CDU/CSU 92 speeches in topic |
Linke 79 speeches in topic |
Grüne 80 speeches in topic |
SPD 83 speeches in topic |
|---|---|---|---|---|---|
|
Apokalyptiktopos
Existential climate threat: catastrophe, tipping points, doom.
|
n=1 | - | 33.0 n=14 | 49.5 n=8 | n=1 |
|
Generationengerechtigkeit
Duty to future generations, intergenerational fairness.
|
n=1 | 19.6 n=3 | 27.5 n=6 | - | - |
|
Technikoptimismus
Faith in technology to solve the climate problem.
|
22.1 n=3 | 54.6 n=17 | 19.0 n=3 | 19.3 n=3 | 33.3 n=9 |
|
Kostentopos
Climate policy too expensive, burden on taxpayers and industry.
|
45.0 n=30 | 35.0 n=11 | 38.9 n=10 | 49.7 n=9 | 41.2 n=10 |
|
Verzichtstopos
Climate action requires sacrifice, giving up comforts.
|
32.3 n=5 | - | n=1 | n=1 | - |
|
Wettbewerbstopos
Climate as economic race: green industries, competitiveness.
|
38.1 n=15 | 51.6 n=17 | 47.4 n=4 | 61.3 n=9 | 36.6 n=10 |
|
Wissenschaftstopos
Science, IPCC, evidence, expert consensus.
|
- | 83.6 n=8 | 29.7 n=3 | n=1 | n=2 |
|
Klimaskepsistopos
Climate skepticism: denial, doubt, conspiracy claims.
|
26.6 n=5 | n=2 | n=1 | - | - |
Cell value: average count of that rhetorical pattern per 10,000 words, computed only over the speeches where the stance pass labelled this pattern as deploy (speaker uses the frame as their own argument). The number under each value (n=X) is how many speeches contributed. Cells with n < 3 are shown as "n=X" without a density value because the average isn't trustworthy at that sample size. The thin bar under each cell shows the stance split across all speeches that triggered this pattern: orange = deploy, blue = critique, grey = unrelated. Click any cell to read the speeches behind it.