ForbesCan Extreme H Race Series Make Hydrogen Relevant For Green Transport?
- Bias Rating
- Reliability
75% ReliableGood
- Policy Leaning
50% Medium Right
- 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
30% Positive
- 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:
62% : They want to know what to do to become more self-reliant with renewables, how to store renewable energy, and what the opportunities are with green hydrogen.58% : From an ethical electrification perspective, it is still very relevant, but opens alternative energy sources.
54% : This needs to be switched to "green" hydrogen generated by electrolyzing water using renewable energy.
52% : In Saudi Arabia or Namibia, they can produce huge amounts of renewable energy, which is wasted, because there's no one there to use it.
*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.
