Politics Of Identity: Why It Works and Why It Doesn't

Jan 31, 2022 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    12% Somewhat Conservative

  • 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

N/A

  •   Conservative
SentenceSentimentBias
"From the Black Lives Matter movement, LGBTQ+, #MeToo to Dalit and Adivasi politics in India, identity politics has emerged as radical politics of emancipation in what author George Packer provocatively calls multi-everything democracy."
Negative
-12% Liberal

Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

44% : From the Black Lives Matter movement, LGBTQ+, #MeToo to Dalit and Adivasi politics in India, identity politics has emerged as radical politics of emancipation in what author George Packer provocatively calls "multi-everything democracy".

*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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