Iranian Nobel Laureate Narges Mohammadi Goes on Prison Hunger Strike
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- 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
- 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:
59% : "[Iran] is responsible for anything that happens to our beloved Narges," Mohammadi's family said.52% : Mohammadi, the deputy head of non-governmental organization Defenders of Human Rights Center, has been in and out of jail over the last decade for charges including spreading anti-state propaganda.
52% : Read More: Women of Iran: TIME's 2022 Heroes of the YearWhile Iran was swept by the unprecedented wave of protests, Mohammadi wrote an essay in the Times detailing how she and her fellow inmates staged their own solidarity events in prison.
36% : Women in Iran have long been subjected to scrutiny -- from what they wear to who they socialize with.
33% : Just last month, a 16-year-old died after collapsing in a subway car in Tehran; she was allegedly assaulted by the morality police for not wearing a hijab.
*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.