JK Rowling tells police 'arrest me' as anti-trans row blows up on social media

  • Bias Rating

    10% Center

  • Reliability

    65% 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

-30% Negative

  •   Conservative
SentenceSentimentBias
"This includes an explicit clause, a defence for the accused's behaviour being reasonable and the fact that the Act is compatible with the European Convention on Human Rights."
Positive
0% Conservative
"The Ayr MSP added: There is a very high threshold which is in the Act which would be up to Police Scotland, and what would have to be said online or in person would be threatening and abusive.Asked why women had not been included in the new legislation, Brown said: We'll be going further for the protection of women through our misogyny Bill, which will be laid down in Parliament."
Negative
-10% Liberal

Bias Meter

Extremely
Liberal

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Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
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Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

50% : This includes an explicit clause, a defence for the accused's behaviour being "reasonable" and the fact that the Act is compatible with the European Convention on Human Rights.
45% : The Ayr MSP added: "There is a very high threshold which is in the Act which would be up to Police Scotland, and what would have to be said online or in person would be threatening and abusive."Asked why women had not been included in the new legislation, Brown said: "We'll be going further for the protection of women through our misogyny Bill, which will be laid down in Parliament."

*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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