Trump admin asks Supreme Court to allow enforcement of transgender troop ban

Flags are about wording, sourcing and context, not whether it’s true or which side is right. How we check

Wording
17%of the article’s sentences use a rhetorical technique

Tap a technique to see where it’s used.

What these techniques mean
Loaded Language Emotionally charged words that push a reaction instead of giving information.Show the first one ↓
Black-and-White Fallacy Two options presented as the only ones, when there are more.Show the first one ↓
Appeal to Fear Raising a threat to drive the reader’s view.Show the first one ↓

What the model flagged

underlined: technique found; pick one to highlight its words tap a technique for why

“rush in and bless the expulsion” … “proven, decorated soldiers”

↓
Loaded Language · “rush in and bless the expulsion”, “proven, decorated soldiers”Why › The quote uses emotionally charged language to frame the administration's actions negatively and the affected soldiers sympathetically.

“driven by prejudice rather than military need”

↓
Black-and-White Fallacy · “driven by prejudice rather than military need”Why › The sentence presents only two possible motivations — prejudice or military need — dismissing any other possible rationale.

“irreparable harm to servicemembers and their families”

↑
Appeal to Fear · “irreparable harm to servicemembers and their families”Why › The claim of 'irreparable harm to servicemembers and their families' invokes fear of serious, permanent damage to sympathetic groups to generate opposition.

Read the original ↗ · Open the full analysis →

Analyzed 2026-08-29 04:03 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 →

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

Semblen LLC · 5900 Balcones Drive STE 100, Austin, TX 78731 · unsubscribe any time