Suddenly, Iowa looks like a swing state again. What’s driving the shift.

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

Wording
4%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 ↓
Conspiracy Appeal Implying hidden, coordinated wrongdoing without showing it.Show the first one ↓
Glittering Generalities Vague, approving words with no specific claim behind them.Show the first one ↓

What the model flagged

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

“The system is rigged” … “bought and paid for”

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Loaded Language · “The system is rigged”, “bought and paid for”Why › The phrases 'rigged' and 'bought and paid for' are emotionally charged terms designed to trigger distrust and outrage rather than convey factual information.

“The system is rigged” … “bought and paid for”

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Conspiracy Appeal · “The system is rigged”, “bought and paid for”Why › The claim that 'the system is rigged' and politicians are 'bought and paid for' implies a hidden, coordinated corruption operating against ordinary people.

“represent the people of Iowa”

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Glittering Generalities · “represent the people of Iowa”Why › The phrase 'represent the people of Iowa' is a vague, emotionally positive appeal to populist identity without any specific policy substance.

Read the original ↗ · Open the full analysis →

Analyzed 2026-08-28 04:01 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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