Facebook Eyes 10,000 EU Jobs To Build 'Metaverse'
- Bias Rating
-2% Center
- Reliability
N/AN/A
- Policy Leaning
46% Medium Conservative
- Politician Portrayal
-2% Negative
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
- 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:
53% : The European Union hires, spread over the next five years, will include "highly specialised engineers", but the company otherwise gave few details of its plans for the new metaverse team.48% : Facebook on Monday announced plans to hire 10,000 people in the European Union to build the "metaverse", a virtual reality version of the internet that the tech giant sees as the future.
44% : The announcement comes as Facebook grapples with the fallout of a damaging scandal, major outages of its services, and rising calls for regulation to curb its vast influence.
31% : Andreas Aktoudianakis, EU lead digital policy analyst at the European Policy Centre, noted that Facebook has "a bad reputation to fix" and that the metaverse announcement represented "a positive narrative" in troubled times.
*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.