ADL condemns Trump’s antisemitic slur but fails to mention him by name

The article, with notes

underlined: technique found; pick one to highlight its words dashed edge: in a quote, not counted tap a technique for why

4 paragraphs with no finding

Paragraph 5 of 16

“made it like, oh, he was some kind of a shylock-type guy”

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Trump’s words · not counted
Appeal to Prejudice · “made it like, oh, he was some kind of a shylock-type guy”Why › Invoking 'shylock' draws on an antisemitic stereotype of Jews as greedy moneylenders, even while framed as a description of how critics portrayed Marshall.

6 paragraphs with no finding

Paragraph 12 of 16

“If a Democrat said it, [ADL CEO] Jonathan Greenblatt would be knocking people over to get in front of a camera to condemn them by name, but it was Trump, so it’s just a general public service announcement”

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Matt Duss’s words · not counted
Loaded Language · “If a Democrat said it, [ADL CEO] Jonathan Greenblatt would be knocking people over to get in front of a camera to condemn them by name, but it was Trump, so it’s just a general public service announcement”Why › The vivid image of Greenblatt 'knocking people over' to reach a camera and the sarcastic 'public service announcement' jab use charged mockery to portray the ADL as partisan rather than argue facts.

1 paragraph with no finding

Paragraph 14 of 16

“shylocks and bad people”

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The article’s own words
Appeal to Prejudice · “shylocks and bad people”Why › The quoted term 'shylocks' is an antisemitic slur evoking a stereotype of Jewish moneylenders, playing on distrust of an identity group.
Loaded Language · “shylocks and bad people”Why › The quote uses a derogatory, emotionally charged label for lenders, equating them with 'bad people'.

2 paragraphs with no finding

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Analyzed 2026-10-21 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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