Trump loyalist Todd Blanche confirmed by Senate as US attorney general

Flags are about wording, sourcing and context, not whether it’s true or which side is right. How we check

Wording
10%of the article’s sentences use a rhetorical technique

Tap a technique to see where it’s used.

What these techniques mean
Loaded Language Emotionally charged words that push a reaction instead of giving information.Show the first one ↓
Name Calling A label used to mock or discredit instead of an argument.Show the first one ↓
Exaggeration/Hyperbole Overstating something to make it seem bigger or worse.Show the first one ↓

What the model flagged

underlined: technique found; pick one to highlight its words tap a technique for why

“pervasive, breathtaking corruption”

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Loaded Language · “pervasive, breathtaking corruption”Why › The quoted speech contains highly emotionally charged phrases designed to trigger a strong negative reaction rather than convey neutral facts.

“advanced his career enabling it”

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Name Calling · “advanced his career enabling it”Why › Blanche is implicitly labeled as a corrupt enabler rather than having his qualifications or actions addressed on their merits.

“Every senator who voted to confirm him has now branded themselves as an enabler, too”

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Exaggeration/Hyperbole · “Every senator who voted to confirm him has now branded themselves as an enabler, too”Why › The sweeping claim that every single senator who voted to confirm is now permanently 'branded' as an enabler is an overstatement that ignores nuance.

Read the original ↗ · Open the full analysis →

Analyzed 2026-08-09 04:00 UTC. Articles are sometimes updated after publication — if a quote here isn't in the current version, the piece has changed since.

Analyzed automatically with Semblen's fine-tuned model. These are rhetorical techniques, not political tilt — and finding one is not a claim that the article is false. Findings include language the outlet is quoting rather than asserting: we flag techniques wherever they appear, so check each quote against the original. 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 →

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