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The Guardian (US) · left 6 techniques found 26.8% of sentences flagged

Read the original article at The Guardian (US) →

What the model flagged

Analyzed 2026-08-03 04:00 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 75%

The phrase 'boosting misinformation' uses emotionally charged framing to characterize the subject's actions in a negative light rather than neutrally describing them — for example: boosting misinformation

“boosting misinformation”

Appeal To Fear 65%

The phrase 'late in the day' implies urgency and that time is running out to act, creating mild anxiety about inaction — for example: framing the response as dangerously delayed

“comes late in the day”

Scapegoating 77%

Complex problems blamed on a single group that didn't cause them.

Victim Blaming 93%

Moral responsibility shifted onto victims of violence or oppression.

Name Calling 75%

The accusations use derogatory labels to discredit the CNN host rather than address substantive arguments — for example: 'repeating like a parrot'

“saying nonsense”
“repeating like a parrot”
“making assertions you can't support”

Conspiracy Appeal 72%

Hidden plots, secret coordination, or shadowy actors invoked to explain away evidence.

Analyzed automatically with Biasly'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 →