This Mamdani-Backed Bill Would Kill Jobs, Boost Unions, and Make Deliveries More Expensive

Reason · right 4 techniques found 3.3% of sentences flagged

Read the original article at Reason →

What the model flagged

Analyzed 2026-08-23 04:04 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 90%

The phrase 'Kill Jobs' uses emotionally charged language to provoke fear and outrage rather than neutrally describing the bill's effects — for example: 'Kill Jobs'

“Kill Jobs”

Appeal To Fear 85%

The headline warns of job losses and higher costs to create anxiety about the bill's consequences, pressuring readers to oppose it — for example: 'Kill Jobs, Boost Unions, and Make Deliveries More Expensive'

“Kill Jobs, Boost Unions, and Make Deliveries More Expensive”

Card Stacking 80%

The headline selectively lists only negative outcomes of the bill — job losses, union boost framed negatively, higher prices — while omitting any potential benefits or counterarguments — for example: 'Kill Jobs, Boost Unions, and Make Deliveries More Expensive'

“Kill Jobs, Boost Unions, and Make Deliveries More Expensive”

Name Calling 70%

Labeling the bill as 'Mamdani-Backed' functions to discredit it by association with a named individual rather than evaluating it on its merits — for example: 'Mamdani-Backed Bill'

“Mamdani-Backed Bill”

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 →

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