EU border agency 'has failed to protect asylum seekers' rights'
- Bias Rating
-14% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
14% Somewhat Conservative
- Politician Portrayal
-41% 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:
64% : The blame is placed largely on Leggeri, a former senior official in France's interior ministry in charge of illegal migration, who has been the agency's executive director since 2015.49% : After more than a 1.2 million people sought asylum in the EU in 2015, European leaders agreed to give the Warsaw-based organisation more staff and money, a point of consensus in the often fraught EU debate on how to manage migration.
46% : She said there was a perception inside and outside the agency that upholding human rights was in conflict with border control.
46% : "Some of the actors still perceive that when you start acting on fundamental rights, then you become less effective on border control ... [Frontex] needs to do both and it's possible to do both at the same time, so
*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.