NY Times Article Rating

In Two Elections, North and South, Boris Johnson Risks a Sharp Rebuke

Jun 24, 2022 View Original Article
  • Bias Rating

    -98% Very Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    40% Somewhat Conservative

  • Politician Portrayal

    -31% Negative

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

N/A

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

49% : "A lot of people thought Brexit was going to change everything," said Mr. Hayes, as he gazed at peregrine falcons nesting in the steeple of Wakefield's cathedral.
48% : That message appealed to disillusioned Labour voters, many of whom voted to leave the European Union in 2016.
47% :Geoff Hayes, 72, who once worked in the now-defunct coal mines that ring Wakefield, said Mr. Johnson had sold many Labour voters on the promise that Brexit would liberate Britain from the regulatory shackles of the European Union.
44% : "Labour thinks the election is in the bag, and they don't want to make any mistakes."Mr. Herdson, 48, who left the Conservative Party because of what he called Mr. Johnson's "reckless strategy" in leaving the European Union, is emphasizing local concerns like affordable housing and better public transportation.
40% : In 2019, the Conservatives pierced the red wall on the strength of Mr. Johnson's promise to "get Brexit done."

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

Copy link