How critical infrastructure providers can align with customer efficiency goals through better product design
- Bias Rating
-46% Medium Liberal
- Reliability
N/AN/A
- Policy Leaning
-46% Medium Liberal
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
60% : The future will likely bring greater adoption of energy solutions using fuel cells, renewable energy assets, and long-duration energy storage systems, including battery energy storage systems and lithium-ion batteries, which recharge and recover quickly.60% : For telecom cell sites, companies like Vertiv offer solutions that enable solar energy to be used as the primary power source for remote facilities that are off the power grid and as supplemental energy sources for those that are connected to the grid.
55% : In the data center world, there are already 2.9 gigawatts of new data center capacity currently under construction.To slow the environmental effects of this growth, critical infrastructure providers are working with greater urgency to develop high-performing products and solutions that use less water and more renewable energy.
*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.