Analysis Overview
Framing and rhetorical patterns across analyzed articles
Dominant Frames
Distribution of framing across analyzed articles
Responsibility
996 (20.9%)
Conflict
783 (16.4%)
Crisis
607 (12.7%)
Victim
477 (10%)
Threat
410 (8.6%)
Horse Race
338 (7.1%)
Injustice
294 (6.2%)
Human Interest
109 (2.3%)
Public Safety
107 (2.2%)
Diplomacy
76 (1.6%)
Rhetorical Techniques
Technique categories across analyzed articles
Language Manipulation
24579 (36.2%)
Emotional Appeal
17723 (26.1%)
Framing Device
12350 (18.2%)
Credibility Tactic
12207 (18%)
Logical Fallacy
980 (1.4%)
Emotional Appeals
Specific emotions evoked across analyzed articles
Fear
4458 (25.2%)
Outrage
2796 (15.8%)
Sympathy
2232 (12.6%)
Anxiety
1990 (11.2%)
Contempt
1064 (6%)
Anger
948 (5.3%)
Hope
832 (4.7%)
Trust
614 (3.5%)
Sadness
558 (3.1%)
Loaded Language
469 (2.6%)
Article Strategies
Strategic intent of analyzed articles
Inform
2122 (44.4%)
Alarm
1601 (33.5%)
Attack
823 (17.2%)
Defend
194 (4.1%)
Mobilize
36 (0.8%)
News Media Influence Targets
Targets of influence in news articles, with pro/anti stance breakdown
Donald Trump 158 / 372 (3.2%)
Andy Burnham 254 / 102 (2.1%)
Iran 30 / 217 (1.5%)
Labour Party 62 / 145 (1.2%)
Pro Anti
Social Media Influence Targets
Top targets of influence in Reddit comments with pro/anti stance breakdown
Reform UK 166 / 375 (1.4%)
Donald Trump 58 / 446 (1.3%)
Keir Starmer 103 / 288 (1%)
Labour Party 88 / 257 (0.9%)
Nigel Farage 83 / 260 (0.9%)
Democratic Party 99 / 234 (0.8%)
immigration policy 90 / 233 (0.8%)
Conservative Party 37 / 266 (0.8%)
Donald Trump 33 / 225 (0.7%)
Republican Party 15 / 228 (0.6%)
Pro Anti