COP27 climate change conference in Egypt | Epthinktank | European Parliament

Nov 05, 2022 View Original Article
  • Bias Rating

    -4% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -4% 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

N/A

  •   Liberal
SentenceSentimentBias
"For example, the RePowerEU plan is intended to accelerate the rollout of renewable energy and reduce energy consumption, to put an end to the EU's dependence on Russian gas."
Positive
4% Conservative
"He campaigned in recent days in Georgia, Michigan, Wisconsin, Nevada and Arizona, while Biden has spent more time in Democratic-leaning states where he's more welcome."
Positive
24% Conservative
"The Oz-Fetterman race could decide the Senate majority -- and with it, Biden's agenda and judicial appointments for the next two years."
Positive
12% Conservative
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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:

52% : For example, the RePowerEU plan is intended to accelerate the rollout of renewable energy and reduce energy consumption, to put an end to the EU's dependence on Russian gas.

*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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