Michael Goodwin: NYT alum would be shocked by what has become of the Gray Lady’s standards
Read the original article at New York Post Opinion →
What the model flagged
Analyzed 2026-09-20 04:17 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 92%
Emotionally charged words are used to frame the Times negatively and the Post's readers positively, triggering a reaction rather than conveying facts — for example: 'woke partisanship'
“woke partisanship”
“activism”
“ditched”
Appeal To Prejudice 82%
The phrase 'savvy Post readers' flatters an in-group identity, implying that readers of the Post are perceptive and discerning in contrast to the implied out-group — for example: 'savvy Post readers'
“savvy Post readers”
Bandwagon Appeal 72%
The claim that readers collectively and repeatedly supply evidence implies a broad consensus validating the author's position, pressuring agreement through implied crowd size — for example: 'each day brings fresh evidence'
“each day brings fresh evidence”
“savvy Post readers remind me”
Card Stacking 80%
The sentence presents the conclusion that the Times has abandoned accuracy and fairness as if it were established fact supported by daily evidence, while omitting any counterargument or qualification — for example: 'accuracy and fairness have been ditched at the Times'
“accuracy and fairness have been ditched at the Times in favor of activism and woke partisanship”
Appeal To Fear 85%
The sentence warns of imminent 'poverty and suffering' to create anxiety about dire consequences — for example: More poverty and suffering are on the way
“More poverty and suffering are on the way”
Conspiracy Appeal 80%
The phrase 'our sources are prepared to blame Trump' implies coordinated, pre-planned scapegoating by unnamed actors, suggesting a hidden agenda — for example: our sources are prepared to blame Trump
“our sources are prepared to blame Trump”
Scapegoating 80%
The sentence frames Trump as the singular target of blame for complex societal problems like poverty and suffering — for example: prepared to blame Trump
“prepared to blame Trump”
Analyzed automatically with Semblen'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 →