LatestLYBusiness News | Maruti Suzuki's In-plant Railway Siding in Gujarat Becomes World's First Modal Shift Project to Generate Carbon Credits | LatestLY
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
24% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
64% : The company reported that this initiative aligns with United Nations Sustainable Development Goals, specifically focusing on climate action, decent work, and good health.62% : "The project contributes to United Nations Sustainable Development Goals (SDGs), focused on Good Health and Well-being (SDG 3), Decent Work and Economic Growth (SDG 8), and Climate Action (SDG 13)," it said.
53% : No Discrimination Against Pakistan Players.
52% : According to Maruti Suzuki India, the emission reductions were quantified using the AM0090 methodology, which is prescribed under the Clean Development Mechanism of the United Nations Framework Convention on Climate Change.
50% : The automobile manufacturer announced on Wednesday that the project is registered to reduce approximately 1.7 lakh tonnes of carbon dioxide equivalent emissions over a 10-year crediting period starting from the 2023-24 fiscal year.
48% : Leveraging the inherent efficiency of rail transport, the Gujarat in-plant railway siding has significantly reduced the carbon footprint of our logistics operations, while also easing road congestion and lowering overall fossil fuel consumption.
*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.