We can't defeat climate change by investing in a handful of countries. The world needs to come together at COP28-and fund a just energy transition
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*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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*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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Reliability Score Analysis
The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.
- Opposite Sources as Excellent for a very high number of sources with different viewpoints.
- Unique Sources as Fair for an average number of different sources.
- Multiple Sources as Excellent for a very high number of total sources.
- Multiple Quotes as Poor for the lower number of quotes used in the article.
- Quote Length as Poor for the lower number of words used in each quote.
Opposite Sources: 100% Excellent (Grade A) Unique Sources: 50% Fair (Grade C) Multiple Sources: 100% Excellent (Grade A) Multiple Quotes: 0% Poor (Grade F) Quote Length: 0% Poor (Grade F)
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.
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Policy Leaning Analysis
This article includes the following sentiments, providing an average bias score of -10% Liberal:
- 8 positive sentiments and 1 negative sentiment for Clean Energy.
"Achieving this goal will require a wide range of clean energy technologies-but two areas are especially important: energy efficiency and renewable power."
"With the global energy crisis highlighting the energy security and affordability benefits of clean energy, promising political signals are being matched by concrete action."
"Yet currently, they represent less than half of global investments in clean energy."
"However, in a pathway towards the 1.5 °C goal, around 60% of the finance for clean energy investment in these economies (not including China) will need to come from the private sector."
"To shift the world onto a path towards the 1.5 °C goal, a new report just published by the IEA and IFC shows that annual investment in clean energy in emerging and developing economies will need to more than triple from $770 billion today to as much as $2.8 trillion a year by the early 2030s."
"Every stakeholder must play their part-including oil and gas companies, which need to set out and deliver on aggressive targets to cut their greenhouse gas emissions by 2030 and significantly increase their investments in clean energy."
"Many other barriers that hinder investors will also need to be addressed, including inefficient subsidies that tilt the playing field against clean energy investments, lengthy permitting procedures, unpredictable procurement practices, lengthy procedures for licensing, arbitrary or weak contract enforcement, restrictions on private or foreign ownership, and poor creditworthiness of counterparties."
Politician Portrayal Analysis:
This article includes the following Politician Portrayal sentiments, providing an average sentiment of 0% Neutral and bias score of N/A:
"Ayala has a software engineer client with $145,000 in student loan debt who could have had $20,000 wiped off her balance under Biden's cancellation program."
This is a negative sentiment.
"Though payments restart in October, President Joe Biden said federal borrowers will have during which missing payments will not get reported to credit bureaus or referred to debt collectors."
This is a negative sentiment.
"Borrowers will not have the benefit of loan forgiveness; the Biden administration's plan to forgive up to $10,000 to $20,000 each for eligible borrowers."
This is a negative sentiment.
"Likewise, lenders don't have to abide by any grace period that the Biden administration uses, Graf said."
This is a negative sentiment.
"But what if Biden or other politicians find in the coming years -- which leaves the refinanced software engineer on the outside looking in at forgiveness?"
This is a negative sentiment.
Policies:
Clean EnergyPoliticians:
Joe BidenSentiments
- Liberal
- Conservative
34% "With the global energy crisis highlighting the energy security and affordability benefits of clean energy, promising political signals are being matched by concrete action.""
20% "Yet currently, they represent less than half of global investments in clean energy.""
20% "A major scaling up of clean energy globally is critical to bring down demand for all fossil fuels.""
18% "However, in a pathway towards the 1.5 °C goal, around 60% of the finance for clean energy investment in these economies (not including China) ..."
18% "Despite solar's surge, the progress of wind, hydropower, and biofuels is lagging.""
16% "To shift the world onto a path towards the 1.5 °C goal, a new report just published by the IEA and IFC shows that ..."
10% "Every stakeholder must play their part-including oil and gas companies, which need to set out and deliver on aggressive targets to cut their greenhouse ..."
-2% But what if Biden or other politicians find in the coming years -- which leaves the refinanced software engineer on the outside looking in ..."
-10% "Many other barriers that hinder investors will also need to be addressed, including inefficient subsidies that tilt the playing field against clean energy investments, ..."
We have listed the top 10 sentiments. More sentiments do exist. Please review the full article for more information.
*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
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Contributing sentiments towards policy:
73% : Achieving this goal will require a wide range of clean energy technologies-but two areas are especially important: energy efficiency and renewable power.67% : With the global energy crisis highlighting the energy security and affordability benefits of clean energy, promising political signals are being matched by concrete action.
60% : A major scaling up of clean energy globally is critical to bring down demand for all fossil fuels.
60% : Yet currently, they represent less than half of global investments in clean energy.
59% : Despite solar's surge, the progress of wind, hydropower, and biofuels is lagging.
59% : However, in a pathway towards the 1.5 °C goal, around 60% of the finance for clean energy investment in these economies (not including China) will need to come from the private sector.
58% : To shift the world onto a path towards the 1.5 °C goal, a new report just published by the IEA and IFC shows that annual investment in clean energy in emerging and developing economies will need to more than triple from $770 billion today to as much as $2.8 trillion a year by the early 2030s.
55% : Every stakeholder must play their part-including oil and gas companies, which need to set out and deliver on aggressive targets to cut their greenhouse gas emissions by 2030 and significantly increase their investments in clean energy.
45% : Many other barriers that hinder investors will also need to be addressed, including inefficient subsidies that tilt the playing field against clean energy investments, lengthy permitting procedures, unpredictable procurement practices, lengthy procedures for licensing, arbitrary or weak contract enforcement, restrictions on private or foreign ownership, and poor creditworthiness of counterparties.
*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.