Understand the bias, discover the truth in your news. Get Started

Turning waste into wealth

  • Bias Rating

    30% Somewhat Right

  • Reliability

    5% ReliableLimited

  • Policy Leaning

    30% Somewhat Right

  • 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

-29% Negative

  •   Conservative
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:

56% : Under the project, livestock manure is converted into biogas, a clean and renewable source of energy for cooking, heating, electricity generation, or productive use within the enterprise, reducing dependence on firewood, biomass, LPG, and fossil fuels.
49% : Through its 'Waste to Wealth' approach, the project works with microenterprises across agribusiness, manufacturing, and service sectors, transforming waste, by-products, and underutilised resources into valuable raw materials, renewable energy, and marketable products that support enterprises in reducing environmental pollution while improving productivity, profitability, and climate resilience.
47% : Crop residues such as rice straw, husk, vegetable residues, fruit waste, and other biomass are transformed under the project into compost, organic fertiliser, livestock feed, biochar, or renewable bioenergy instead of being openly burned or discarded.
45% : Through the integration of RECP practices, circular economy principles, renewable energy technologies, and sustainable waste management systems, the SMART project is turning waste into wealth, enabling microenterprises to become more productive, resource-efficient, environmentally responsible, and climate-resilient.

*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.

Category
Topic
Copy link