The "algorithm" for the operation of "Pharos AI Factory"
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
-26% Somewhat Left
- 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
20% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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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:
59% : The project, of an initial budget of 30 million euros, is implemented within the framework of the European Union's framework program for research and innovation in the period 2021-2027 "Horizon Europe" and is financed 50% by the European High Performance Computing Joint Undertaking (EuroHPC) and 50% by national funds.54% : -The development and provision of highly reliable AI infrastructure, products and resources in Greece, harmonized with EU and national law, as well as services for the development of AI solutions, products and capabilities on a large scale, aiming at the widespread adoption of AI, enhancing innovation and competitiveness in nationally critical and strategic sectors, such as: a) Health, with the aim of developing anonymized health data and predictive AI tools, b) Language and Culture, with the aim of creating language models for the Greek language and Greek culture and the digital documentation, study, protection, management and promotion of all their manifestations, material and intangible, c) Sustainability and the environment, with the aim of developing AI applications and solutions for the management of natural resources, addressing climate change and enhancing energy efficiency.
*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.
