Analysis Overview
Framing and rhetorical patterns across analyzed articles
Dominant Frames
Distribution of framing across analyzed articles
Crisis
1257 (24.3%)
Conflict
1043 (20.2%)
Threat
458 (8.9%)
Responsibility
453 (8.8%)
Victim
389 (7.5%)
Accountability
252 (4.9%)
Diplomacy
195 (3.8%)
Security
184 (3.6%)
Progress
143 (2.8%)
Injustice
141 (2.7%)
Rhetorical Techniques
Technique categories across analyzed articles
Language Manipulation
22959 (33.7%)
Emotional Appeal
18671 (27.4%)
Credibility Tactic
14193 (20.8%)
Framing Device
11506 (16.9%)
Logical Fallacy
766 (1.1%)
Emotional Appeals
Specific emotions evoked across analyzed articles
Fear
5526 (29.6%)
Outrage
2872 (15.4%)
Anxiety
1940 (10.4%)
Sympathy
1825 (9.8%)
Anger
1464 (7.8%)
Contempt
991 (5.3%)
Loaded Language
655 (3.5%)
Hope
626 (3.4%)
Disgust
619 (3.3%)
Pride
510 (2.7%)
Article Strategies
Strategic intent of analyzed articles
Alarm
1951 (37.7%)
Inform
1741 (33.6%)
Attack
1096 (21.2%)
Defend
339 (6.6%)
Mobilize
48 (0.9%)
News Media Influence Targets
Targets of influence in news articles, with pro/anti stance breakdown
Donald Trump 565 / 1079 (8.6%)
Iran 28 / 281 (1.6%)
Trump administration 42 / 145 (1%)
Metropolitan Police 124 / 38 (0.8%)
Pro Anti
Social Media Influence Targets
Top targets of influence in Reddit comments with pro/anti stance breakdown
Donald Trump 109 / 1234 (3.1%)
Donald Trump 71 / 709 (1.8%)
Republican Party 36 / 599 (1.5%)
foreign policy of the United States 35 / 469 (1.2%)
Democratic Party 147 / 346 (1.1%)
Keir Starmer 94 / 347 (1%)
Israel 61 / 368 (1%)
Labour Party 77 / 340 (1%)
immigration policy 76 / 316 (0.9%)
Conservative Party 35 / 349 (0.9%)
Pro Anti