The Pentagon’s Secret Budget
Read the original article at The Intercept →
What the model flagged
Analyzed 2026-10-05 04:02 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 70%
The phrase 'eat up' is emotionally charged, framing military spending as a consuming, destructive force rather than a neutral allocation — for example: 'eat up'
“eat up around 75 percent”
Appeal To Fear 90%
The sentence warns that military funding will enable an 'illegal, disastrous war' and attacks on multiple countries, creating anxiety about dire consequences of the budget — for example: 'funds to make good on his threats to attack Cuba and other countries'
“funds to make good on his threats to attack Cuba and other countries”
Exaggeration/hyperbole 75%
Characterising ongoing US-Iran tensions as a full 'war' and asserting Trump is 'waging' it overstates the situation beyond what evidence straightforwardly supports — for example: 'waging his illegal, disastrous war on Iran'
“waging his illegal, disastrous war on Iran”
Black-And-White Fallacy 70%
The sentence implies that every Pentagon dollar directly funds illegal wars and attacks, leaving no room for other uses of military spending, presenting a binary framing — for example: 'Every dollar spent on the Pentagon is also a dollar more for Trump to continue waging his illegal, disastrous war'
“Every dollar spent on the Pentagon is also a dollar more for Trump”
Name Calling 75%
The term 'Pentagon boosters' is a derogatory label used to discredit advocates for military spending rather than engage with their arguments — for example: Pentagon boosters
“these Pentagon boosters”
Card Stacking 70%
The sentence presents the claim that advocates 'cited incorrect figures and helped mislead the public for decades' as established fact without qualification or counterevidence, stacking the case against military spending advocates one-sidedly — for example: cited incorrect figures and helped mislead the public for decades
“have cited incorrect figures and helped mislead the public for decades”
Conspiracy Appeal 72%
Framing Trump's actions as a coordinated 'project to create a post-truth America' implies a hidden, sinister agenda being deliberately executed — for example: 'Trump's project to create a post-truth America'
“Trump's project to create a post-truth America”
Glittering Generalities 80%
Invoking 'democracy' as a vague but emotionally resonant value to lend legitimacy to the publication's cause — for example: democracy
“moment for democracy”
False Urgency 80%
Implying that action (growth/support) is immediately necessary to be effective creates artificial pressure to act — for example: we need to grow
“to do so effectively, we need to grow”
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 →