Climate activism is making Big Oil bigger. But it's not all bad news for the energy transition
- Bias Rating
-10% Center
- Reliability
25% ReliablePoor
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
8% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
57% : They are looking to lower overall carbon emissions through regulatory measures while also encouraging investment through large-scale subsidies, such as the Inflation Reduction Act in the U.S.54% : In addition, recent transaction activity has seen oil and gas players switch the mix of fossil fuels-reducing heavy oil production and increasing natural gas production-or diversify away from fossil fuels and gain a stronger footing in other areas, including renewables, critical minerals, and other low-carbon solutions.
54% : Meanwhile, the EU is making progress through the Carbon Board Adjustment Mechanism which will set the template for assessing tariffs on goods based on the carbon intensity of manufacturing.
51% : The additional capital efficiency will also free investment funds for the oil and gas companies to decarbonize their operations and products through the deployment of alternative energy technologies.
49% : The U.S. and EU have prioritized regulatory efficiencies and subsidies.
48% : As a result, despite global economic uncertainties, rising geopolitical tensions, intensifying climate change concerns, and a strengthened plan for phasing out fossil fuels, oil and gas M&A comprised 11.6% of deals announced across sectors in 2023.
*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.