Miranda Devine: The lynch mob is out for the ‘Cornell 7’ — proving we’ve learned nothing from past injustices
Read the original article at New York Post Opinion →
What the model flagged
Analyzed 2026-10-01 04:16 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 95%
The phrase 'lynch mob' is an emotionally charged term invoking historical racial violence to describe critics of the 'Cornell 7', designed to trigger a strong emotional reaction rather than convey neutral facts — for example: 'lynch mob'
“lynch mob is out for the 'Cornell 7'”
Appeal To Prejudice 75%
The framing invokes collective guilt and historical injustice to position the audience as morally obligated to side with the 'Cornell 7', exploiting in-group identity around shared lessons from past wrongs — for example: 'proving we've learned nothing from past injustices'
“proving we've learned nothing from past injustices”
False Equivalence 80%
The headline implicitly equates contemporary criticism or accountability of the 'Cornell 7' with historical lynch mob injustices, creating a false moral equivalence between two likely non-comparable situations — for example: "lynch mob is out for the 'Cornell 7' — proving we've learned nothing from past injustices".
“The lynch mob is out for the 'Cornell 7' — proving we've learned nothing from past injustices”
Appeal To Fear 75%
The phrase 'only with social media making everything worse' implies an escalating, uncontrollable threat to rational justice — for example: "only with social media making everything worse".
“social media making everything worse”
Card Stacking 75%
The sentence presents the guilty verdict as solely the product of biased 'man-hating' opinion, omitting any acknowledgment of evidence or legitimate reasons for public judgment — for example: 'judged guilty in the court of man-hating public opinion'
“judged guilty in the court of man-hating public opinion”
Name Calling 95%
Young women are labeled with a highly derogatory term to discredit a cultural shift rather than engage with its arguments — for example: unpaid hookers
“encouraged to behave like unpaid hookers”
Exaggeration/hyperbole 75%
The enumeration of every possible party she blames ('you name it') is used to overstate the breadth of her alleged blame-shifting and make her appear unreasonable — for example: "the young men, the bar that sold her alcohol, her sorority, the fraternity, Cornell, you name it".
“you name it”
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 →