Innere Sicherheit - cross-fraction topoi

Deploy only Raw keywords WP20 vs WP21

Topic filter: speech_topics.topic_label = "Innere Sicherheit". Showing raw keyword density. No stance filtering. Mostly useful as a baseline against the deploy-only view.

Rhetorical pattern	AfD 270 speeches in topic	CDU/CSU 326 speeches in topic	Linke 162 speeches in topic	Grüne 278 speeches in topic	SPD 264 speeches in topic
Härtetopos Tougher penalties, harsher sentences, zero tolerance.	6.1 n=270	6.8 n=326	5.9 n=162	5.5 n=278	4.8 n=264
Rechtsdurchsetzungstopos Enforce existing law: deport, prosecute, no leniency.	52.6 n=270	57.6 n=326	43.4 n=162	46.8 n=278	48.3 n=264
Polizeistärkungstopos More police, better equipment, more powers.	45.0 n=270	35.9 n=326	23.1 n=162	32.6 n=278	50.5 n=264
Bürgerrechtstopos Civil liberties, privacy, pushback on surveillance.	14.3 n=270	12.3 n=326	13.4 n=162	13.6 n=278	9.6 n=264
Extremismustopos Extremism: right-wing, left-wing, Islamist threat framing.	34.0 n=270	29.3 n=326	26.9 n=162	54.3 n=278	26.8 n=264
Präventionstopos Prevention: education, social work, deradicalisation.	3.1 n=270	2.8 n=326	9.4 n=162	8.7 n=278	6.8 n=264
Bedrohungslagetopos Threat assessment: threat level, intelligence reporting.	5.6 n=270	2.5 n=326	1.1 n=162	3.2 n=278	3.8 n=264
Vertrauenstopos Trust in institutions, police, judiciary.	4.0 n=270	5.9 n=326	2.5 n=162	4.5 n=278	5.8 n=264

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.