
Cities face huge climate finance gap, study says
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-14% Somewhat Left
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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
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Reliability Score Analysis
Policy Leaning Analysis
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Contributing sentiments towards policy:
58% : Cities were receiving only 1% of the climate finance they required, which is estimated to be as high as $5.4 trillion per year up to 2030, according to the study, the first ever review of urban finance from major multilateral development banks.49% : Cities are receiving only a fraction of the climate finance they need, especially in low-income countries, according to a study published on Saturday on the sidelines of the COP28 climate talks.
*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.