Ricardo joins WSP after transaction completion | Company Announcement | Investegate
- Bias Rating
- Reliability
50% ReliableAverage
- Policy Leaning
24% Somewhat Right
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
41% Positive
- Liberal
- Conservative
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:
64% : With over 110 years of engineering excellence and approximately 2,600 employees in more than 20 countries, Ricardo provides exceptional levels of expertise in delivering innovative cross-sector sustainable outcomes to support energy transition and environmental services, together with cross-sector transportation engineering disciplines.61% : The team's deep, differentiated expertise in areas that are increasingly critical to our clients, such as air quality, water management, energy resilience, policy strategy, and rail, enhances our offering and accelerates momentum toward our strategic ambitions in high-growth sectors and markets," expressed Alexandre L'Heureux, President and CEO of WSP.
50% : Together they pioneer solutions and deliver innovative projects in the transportation, infrastructure, environment, building, energy, water, and mining and metals sectors.
*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.