Yahoo News Article Rating

Advanced Polymer Market to Reach USD 25.34 Billion by 2030; Increasing Demand for Fuel-Efficient or Electric Vehicles to Bolster Growth, says The Brainy Insights

Nov 22, 2022 View Original Article
  • Bias Rating

    -64% Medium Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -64% Medium Liberal

  • 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
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:

66% : Therefore, the global market for advanced polymer composites will benefit greatly from the increasing investments in wind energy.
60% : The end user is divided into automotive, construction, aerospace, wind energy, defence, and others.
59% : Opportunities: the increasing demand for non-conventional energyThe COP26 Glasgow agreement in 2021 lists the stepping up of green funds towards developing non-conventional energy sources like wind energy.
52% : The growing concern about the climate change crisis has intensified the shift towards using non-conventional energy sources like wind and solar energy.
51% : The carbon neutrality pledges made by the governments in the Asia Pacific to avert the climate change crisis by reducing carbon emissions list the scaling up of renewable energy sources as one of the several steps they intend to take.

*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