Iran Likely to be Ousted from UN Women's Body

  • Bias Rating

    6% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    3% Positive

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

Overall Sentiment

N/A

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

50% : Iran, 17 other states and the Palestinians argued in a letter to ECOSOC on Monday that a vote "will undoubtedly create an unwelcome precedent that will ultimately prevent other Member States with different cultures, customs and traditions ... from contributing to the activities of such Commissions."
43% : A US official told Reuters they had "consistently seen growing support" to remove Iran.
42% : The 54-member UN Economic and Social Council (ECOSOC) will vote on a US-drafted resolution to "remove with immediate effect the Islamic Republic of Iran from the Commission on the Status of Women for the remainder of its 2022-2026 term."
40% : REUTERS/Andrew KellyIran appears set to be ousted from a UN women's body on Wednesday for policies contrary to the rights of women and girls, but several countries are expected to abstain from the vote requested by the United States, diplomats said.
38% : People attend a UN Security Council Arria-formula meeting focused on the ongoing protests in Iran, hosted by the United States and Albania at the United Nations in Manhattan, New York City, US, November 2, 2022.

*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.

Copy link