Analysis Overview

Framing and rhetorical patterns across analyzed articles

Dominant Frames

Distribution of framing across analyzed articles

Crisis
2301 (34.6%)
Conflict
1348 (20.3%)
Victim
677 (10.2%)
Security
527 (7.9%)
Threat
346 (5.2%)
Accountability
222 (3.3%)
Horse Race
148 (2.2%)
Progress
145 (2.2%)
Responsibility
139 (2.1%)
Public Safety
110 (1.7%)
Rhetorical Techniques

Technique categories across analyzed articles

Language Manipulation
25652 (30.9%)
Emotional Appeal
25344 (30.5%)
Credibility Tactic
19565 (23.6%)
Framing Device
12042 (14.5%)
Logical Fallacy
405 (0.5%)
Emotional Appeals

Specific emotions evoked across analyzed articles

Fear
9284 (36.6%)
Outrage
3095 (12.2%)
Anxiety
2938 (11.6%)
Sympathy
2404 (9.5%)
Anger
2304 (9.1%)
Loaded Language
1179 (4.7%)
Disgust
946 (3.7%)
Contempt
790 (3.1%)
Sadness
624 (2.5%)
Pride
384 (1.5%)
Article Strategies

Strategic intent of analyzed articles

Alarm
2946 (44.3%)
Inform
1926 (29%)
Attack
1102 (16.6%)
Defend
542 (8.2%)
Mobilize
129 (1.9%)
News Media Influence Targets

Targets of influence in news articles, with pro/anti stance breakdown

Donald Trump
120 / 257 (4.5%)
Government of Iran
31 / 308 (4.1%)
Keir Starmer
83 / 83 (2%)
Conservative Party
40 / 83 (1.5%)
Labour Party
47 / 66 (1.4%)
Iran
6 / 98 (1.2%)
Democratic Party
45 / 39 (1%)
vaccination
59 / 1 (0.7%)
Pro Anti
Social Media Influence Targets

Top targets of influence in Reddit comments with pro/anti stance breakdown

Donald Trump
42 / 468 (3.4%)
foreign policy of the United States
13 / 186 (1.3%)
Republican Party
12 / 137 (1%)
Labour Party
24 / 120 (1%)
Conservative Party
9 / 105 (0.8%)
Democratic Party
30 / 83 (0.8%)
American democracy
11 / 90 (0.7%)
State of Israel
9 / 82 (0.6%)
transgender rights
59 / 31 (0.6%)
immigration policy
22 / 64 (0.6%)
Pro Anti