JK Rowling Made an April Fools Joke. Will It Land Her in Jail?

  • Bias Rating

    10% Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    N/A

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

-58% Negative

  •   Conservative
SentenceSentimentBias
"Instead, she sailed straight into a calculated attack against Humza Yousaf's determination to bring in a raft of new offences which threaten to end freedom of expression over the trans issue but which fail to protect womenThe resolute defence of her right to speak out about the dangers posed by the new legislation may now spark a campaign to repeal the Act as soon as possible, even before it gains a foothold in public opinion...Support for a repeal campaign is coming already from Jim Sillars, a former Labour MP who's also a one-time deputy leader of the SNP."
Negative
-10% Liberal

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

45% : Instead, she sailed straight into a calculated attack against Humza Yousaf's determination to bring in a raft of new offences which threaten to end freedom of expression over the "trans" issue but which fail to protect womenThe resolute defence of her right to speak out about the dangers posed by the new legislation may now spark a campaign to repeal the Act as soon as possible, even before it gains a foothold in public opinion...Support for a repeal campaign is coming already from Jim Sillars, a former Labour MP who's also a one-time deputy leader of the SNP.

*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.

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