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Carbon Credit Validation, Verification and Certification Market worth $884 million by 2030 | MarketsandMarkets
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.
55% : These policies, such as the European Union Emissions Trading System (EU ETS) and California's Cap-and-Trade Program, necessitate the validation, verification, and certification of carbon credits, ensuring that organizations meet their compliance obligations. 52% : This trend is propelling businesses to demonstrate their commitment to reducing carbon emissions through verified carbon credits.
*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.