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

NBC News

The arithmetic for one report

Trump casts doubt on election results after saying he was ‘absolutely willing’ to accept them

NBC News · · full text read

93Few flagged expressions

What was read

744 words in the outlet's own voice, plus 15 in the headline. 29% of the text is in quotes, with 6 listed words inside quotes. 19 attribution markers (such as "said" or "according to") found.

Listed words inside quotes (not scored; quoting is reporting, but which quotes to use is an editorial choice): absolutely, actually, radical left, crazy, massive, rebuke.

Scare quotes (a phrase of one to three words in quotation marks with no speaker in the same sentence): absolutely willing, absolutely willing, honest., 60 Minutes, The systems worked,, matching algorithmic patterns., fake.. 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 choice17441.35.0 (words 1 to 200)3.20 to 4092
Temperature17441.35.0 (words 1 to 200)3.20 to 4092
Flagged attribution phrases07440.00.0 (words 1 to 200)0.00 to 20100
Headline wording12540.0headline only40.00 to 24083

Densest stretch: Word choice, words 1 to 200 of 744, with absolutely; Temperature, words 1 to 200 of 744, with massive.

Shown, not scored: the headline's rate minus the rate of the story's first 80 words is 41.4 points per 1,000 words.

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 92 + 10)0.4 × (Temperature 92 + 10)0.3 × (Flagged attribution phrases 100 + 10)0.2 × (Headline wording 83 + 10)0.1 − 10 = 93. 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 sources3 (State Cisco Aguilar, Pew Research Center, Kate Starbird)
Unnamed sources0 (0% 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)9
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: 2307ff4c3e3ea5d3. 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.

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