Sanders: ‘Ban super PACs from Democratic primaries now’

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

Wording

15%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 ↓

Name Calling A label used to mock or discredit instead of an argument.Show the first one ↓

ClaimsCheck the factual claims in this article →

What the model flagged

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

“particularly obscene” … “outrageous amount”

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Loaded Language · “particularly obscene”, “outrageous amount”Why ›

Emotionally charged words like 'obscene' and 'outrageous' are used to provoke moral disgust rather than neutrally describe campaign finance activity.

“special interests have no particular desire to see Democrats win”

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Conspiracy Appeal · “special interests have no particular desire to see Democrats win”Why ›

The framing implies a hidden sinister coordination by 'special interests' and 'billionaire-funded super PACs' secretly manipulating Democratic primaries with ulterior motives.

“radical anti-Israel agenda”

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Name Calling · “radical anti-Israel agenda”Why ›

The label 'radical' is applied as a derogatory descriptor to discredit El-Sayed rather than engage with his actual policy positions.

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Analyzed 2026-08-10 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 →