BREAKING: Iran booted from UN Women's commission[VIDEO]
- Bias Rating
90% Very Conservative
- Reliability
N/AN/A
- Policy Leaning
90% Very Conservative
- 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
- 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:
44% : Thanks to the tireless efforts of all in closed-door & public advocacy, & to @VP for heeding the calls of women's rights defenders in Iran #MahsaAmini"Middle East analyst Jason Brodsky tweeted, "#BREAKING: #Iran's regime has been ousted from @UN_CSW.38% : ECOSOC resolution to remove Iran from the CSW has been adopted with 29 votes in favor, 8 against & 16 abstentions.
33% : Former State Department spokesperson Morgan Ortagus wrote, "WOAH! 🎤 drop for @CanadaUN this AM before Iran was removed from the UN Women's commission!"
33% : #MahsaAmini"Adjunct professor Karim Sadjadpour wrote, "A poignant video of the 450+ protestors killed thus far in Iran.
32% : Iranian journalist Masih Alinejad tweeted Wednesday, "The Islamic Republic of Iran has been removed from the UN's Commission on the Status of Women!
*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.