Miranda Devine: Dems bring Russiagate back from the dead to haunt the midterms and former Trump staffer Michael Caputo
Read the original article at New York Post Opinion →
What the model flagged
Analyzed 2026-09-21 04:16 UTC. Articles are sometimes updated after publication — if a quote below isn't in the current version, the piece has changed since.
Findings may include language the outlet is quoting rather than asserting. We flag manipulation techniques wherever they appear, including inside quotations — so check each quote against the original before drawing a conclusion about the outlet.
Loaded Language 95%
Multiple emotionally charged words and phrases are used to frame the legal proceedings negatively rather than describe them factually — for example: 'nightmare', 'slapped in the face', 'cooked up', 'hounded'
“Russiagate nightmare”
“slapped in the face”
“cooked up”
Conspiracy Appeal 75%
The framing implies a sinister coordinated effort by DOJ insiders to persecute Trump associates, with the 'national security' unit portrayed as a shadowy instrument of harassment rather than a legitimate legal body — for example: 'lawsuit cooked up by a former DOJ lawyer from the national security unit that hounded him'
“lawsuit cooked up by a former DOJ lawyer from the "national security" unit that hounded him and other Trump associates”
Card Stacking 80%
The sentence selectively emphasizes that no charges were laid to delegitimize the entire investigation, omitting any context about why the investigation occurred or what it found — for example: 'alleged foreign agent violations without laying a single charge'
“alleged foreign agent violations without laying a single charge”
Name Calling 80%
The sentence reports that the complaint labels Caputo a 'traitor' by direct comparison to Benedict Arnold, a derogatory label used to discredit rather than argue on the merits — for example: 'traitor Benedict Arnold'
“compares Caputo to traitor Benedict Arnold”
Appeal To Fear 88%
The warning that there will be 'many, many more' cases creates anxiety about a widespread future threat if action is not taken — for example: 'there will be many, many more if this abuse is permitted'
“there will be many, many more if this abuse is permitted”
Repetition 82%
The phrase 'many, many more' uses deliberate rhetorical repetition to amplify the sense of threat — for example: 'many, many more'
“many, many more”
Appeal To Prejudice 80%
Frames Republicans as an in-group victimized by an out-group (Democrats and their alleged institutional allies) to exploit partisan identity — for example: 'Republicans don't have the same pull as Democrats'
“Republicans don't have the same pull as Democrats in the deep state networks”
Scapegoating 80%
Blames Democrats and their alleged control of institutions for the failure to hold 'practitioners of abuse' accountable — for example: 'because Republicans don't have the same pull as Democrats'
“because Republicans don't have the same pull as Democrats in the deep state networks and legal and media ecosystems, the practitioners of this abuse have never received a taste of their own medicine”
False Urgency 80%
'As we hurtle toward the midterms' creates artificial time pressure implying the issue is critically urgent right now — for example: hurtle toward the midterms
“hurtle toward the midterms”
Exaggeration/hyperbole 85%
The vampire metaphor claiming the story 'refuses to die no matter how many stakes are driven through its heart' is an extreme overstatement implying the issue has been definitively killed multiple times — for example: the vampire that refuses to die, no matter how many stakes are driven through its heart
“the vampire that refuses to die, no matter how many stakes are driven through its heart”
Analyzed automatically with Semblen's fine-tuned model. These are manipulation techniques, not political tilt — and finding one is not a claim that the article is false. The model has known false positives on strong-but-legitimate language, so treat each finding as a prompt to read closely, not a verdict. How articles are chosen →