
Florida must better prepare for hurricane disasters
- Bias Rating
- Reliability
25% ReliableLimited
- 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
-61% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Center
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Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
45% : Early warning systems, resilient infrastructure and nature-based solutions have already proven to be cost-effective in reducing economic losses.37% : The 2024 Regional Assessment Report on Disaster Risk in Latin America and the Caribbean (RAR24), published by the United Nations Office for Disaster Risk Reduction (UNDRR), reveals a troubling risk trend: According to CDRI, the global average annual losses on infrastructure are estimated to be over $700 billion, with climate-related hazards responsible for 75% of these costs.
*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.