Burnham pressed on economy at first PMQs as borrowing costs surge

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

Wording
6%of the article’s sentences use a rhetorical technique

Tap a technique to see where it’s used.

What these techniques mean
Name Calling A label used to mock or discredit instead of an argument.Show the first one ↓
Loaded Language Emotionally charged words that push a reaction instead of giving information.Show the first one ↓
Black-and-White Fallacy Two options presented as the only ones, when there are more.Show the first one ↓

What the model flagged

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

“spendthrift prime minister”

↓
Name Calling · “spendthrift prime minister”Why › The term 'spendthrift' is a derogatory label applied to the prime minister to discredit them rather than engage with specific policy arguments.

“clearly worried” … “spendthrift prime minister”

↓
Loaded Language · “clearly worried”, “spendthrift prime minister”Why › The phrase 'clearly worried' and 'spendthrift' carry emotionally charged connotations designed to trigger concern and distrust rather than convey neutral facts.

“he has a choice - higher taxes, more borrowing, or spending cuts”

↑
Black-and-White Fallacy · “he has a choice - higher taxes, more borrowing, or spending cuts”Why › The sentence presents only three options for funding new promises, implying these are the only possible choices and ignoring other possibilities such as economic growth, efficiency savings, or combinations thereof.

Read the original ↗ · Open the full analysis →

Analyzed 2026-09-03 04:02 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 →

Get notified as this improves — new detection models, the browser extension, and new features. Occasional email, no spam.

Semblen LLC · 5900 Balcones Drive STE 100, Austin, TX 78731 · unsubscribe any time