Analysis Overview

Framing and rhetorical patterns across analyzed articles

Dominant Frames

Distribution of framing across analyzed articles

Threat
464 (17.1%)
Conflict
387 (14.2%)
Horse Race
322 (11.9%)
Responsibility
234 (8.6%)
Crisis
209 (7.7%)
Economic
125 (4.6%)
Legal
113 (4.2%)
Diplomacy
111 (4.1%)
Victim
108 (4%)
Human Interest
104 (3.8%)
Rhetorical Techniques

Technique categories across analyzed articles

Language Manipulation
11276 (30.8%)
Framing Device
10416 (28.4%)
Credibility Tactic
7059 (19.3%)
Emotional Appeal
6327 (17.3%)
Logical Fallacy
1583 (4.3%)
Emotional Appeals

Specific emotions evoked across analyzed articles

Fear
1884 (29.8%)
Sympathy
1244 (19.7%)
Outrage
656 (10.4%)
Anxiety
579 (9.2%)
Anger
268 (4.2%)
Contempt
252 (4%)
Pride
202 (3.2%)
Sadness
188 (3%)
Empathy
177 (2.8%)
Hope
171 (2.7%)
Article Strategies

Strategic intent of analyzed articles

Inform
1611 (59.3%)
Alarm
505 (18.6%)
Attack
483 (17.8%)
Defend
89 (3.3%)
Mobilize
28 (1%)
News Media Influence Targets

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

Richard J. Ross
94 / 387 (3.8%)
Reform UK
78 / 159 (1.9%)
Andy Burnham
115 / 83 (1.6%)
Conservative Party
91 / 67 (1.2%)
Labour Party
88 / 57 (1.1%)
Kemi Badenoch
89 / 25 (0.9%)
Nigel Farage
42 / 62 (0.8%)
Donald Trump
18 / 75 (0.7%)
Conservative Party
47 / 35 (0.6%)
Labour Party
42 / 40 (0.6%)
Pro Anti
Social Media Influence Targets

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

No social media influence data available