Analysis Overview
Framing and rhetorical patterns across analyzed articles
Dominant Frames
Distribution of framing across analyzed articles
Crisis
933 (18%)
Conflict
852 (16.5%)
Responsibility
737 (14.3%)
Threat
487 (9.4%)
Horse Race
456 (8.8%)
Victim
340 (6.6%)
Diplomacy
186 (3.6%)
Accountability
183 (3.5%)
Injustice
156 (3%)
Security
140 (2.7%)
Rhetorical Techniques
Technique categories across analyzed articles
Language Manipulation
25714 (36.4%)
Emotional Appeal
18080 (25.6%)
Credibility Tactic
13313 (18.9%)
Framing Device
12601 (17.8%)
Logical Fallacy
896 (1.3%)
Emotional Appeals
Specific emotions evoked across analyzed articles
Fear
5136 (28.4%)
Outrage
2594 (14.3%)
Anxiety
2247 (12.4%)
Sympathy
1710 (9.5%)
Anger
1119 (6.2%)
Contempt
1061 (5.9%)
Hope
861 (4.8%)
Trust
533 (2.9%)
Loaded Language
497 (2.7%)
Pride
489 (2.7%)
Article Strategies
Strategic intent of analyzed articles
Inform
2179 (42.1%)
Alarm
1766 (34.2%)
Attack
929 (18%)
Defend
248 (4.8%)
Mobilize
48 (0.9%)
News Media Influence Targets
Targets of influence in news articles, with pro/anti stance breakdown
Donald Trump 442 / 635 (5.9%)
Iran 34 / 325 (2%)
Labour Party 57 / 221 (1.5%)
Andy Burnham 154 / 43 (1.1%)
Pro Anti
Social Media Influence Targets
Top targets of influence in Reddit comments with pro/anti stance breakdown
Donald Trump 80 / 607 (1.8%)
Keir Starmer 159 / 516 (1.8%)
Reform UK 181 / 485 (1.8%)
Donald Trump 62 / 583 (1.7%)
Labour Party 126 / 436 (1.5%)
Conservative Party 51 / 409 (1.2%)
Republican Party 18 / 379 (1%)
immigration policy 83 / 285 (1%)
Democratic Party 131 / 221 (0.9%)
Nigel Farage 70 / 260 (0.9%)
Pro Anti