Transparency News
Automated assessment. Scores measure selected wording patterns in the outlet's own words. They do not assess factual accuracy, completeness, or which stories an outlet covers. What the score measures

The Federalist

The arithmetic for one report

Trump Learned The Wrong Lesson On Immigration From The Midterm Wipeout

The Federalist · · full text read

73Moderate density of flagged expressions

What was read

956 words in the outlet's own voice, plus 11 in the headline. 8% of the text is in quotes. 6 attribution markers (such as "said" or "according to") found.

Scare quotes (a phrase of one to three words in quotation marks with no speaker in the same sentence): good people, law-abiding, Operation Wetback,, put out, pretty far right., comprehensive immigration reform. Since method 3.1.0 their words count as the outlet's own.

Words found

Layer scores

Rates are counted points per 1,000 words of the story's own text. For a story longer than 200 words, the rate used is the average of the whole-story rate and the rate in its densest 200-word stretch, so neutral filler cannot dilute a loaded passage away. Score = 100 × (loaded end − rate used) ÷ loaded end, kept between 0 and 100. Headline words count only in the headline layer.

LayerPointsWordsWhole-story rateDensest 200 wordsRate usedScaleScore
Word choice89568.425.0 (words 401 to 600)16.70 to 4058
Temperature19561.05.0 (words 151 to 350)3.00 to 4092
Flagged attribution phrases29562.110.0 (words 201 to 400)6.00 to 2070
Headline wording0250.0headline only0.00 to 240100

Densest stretch: Word choice, words 401 to 600 of 956, with illegal aliens, insisted; Temperature, words 151 to 350 of 956, with massive; Flagged attribution phrases, words 201 to 400 of 956, with reportedly.

Shown, not scored: the headline's rate minus the rate of the story's first 80 words is 0.0 points per 1,000 words. Experimental: 1 of 4 names and figures in the headline also appear in the text read.

Overall

Weighted geometric mean of the layers that are established, with 10 added to each layer first and taken away at the end: (Word choice 58 + 10)0.4 × (Temperature 92 + 10)0.3 × (Flagged attribution phrases 70 + 10)0.2 × (Headline wording 100 + 10)0.1 − 10 = 73. Adding 10 means one layer at 0 lowers the total steeply without collapsing it. A weak layer pulls the total down.

Lowered the score most: Word choice.

Name-swap test: with party, politician and institution names swapped, this report's score moves by 0.0 points.

What a reader could check

People named as sources2 (Secretary Markwayne Mullin, Time Magazine)
Unnamed sources1 (33% of all sources found)
Links to primary records (government, court, filings, PDFs)0
Documents cited in the text (a report, bill, ruling, filing)0
Checkable specifics (numbers and dates)28
Data shown (a table or chart)no
Correction or clarification notedno

What a reader could check, counted by published patterns. Shown beside the score, never part of it. How each count works

Checked against the official record

No vote count or bill number found in the text read.

Record of this measurement

Method 3.1.0, word-list fingerprint 807a17189402a416, read by text extractor version 4. Fingerprint of the text read: ea4953a683864828. Internet Archive copy nearest the time it was read. The text read was not kept (read before method 3.1.0, or from the feed only), so a later rule change can be applied only while the report is still in the outlet's feed.

Dispute this result · Report a missed word