NewsweekVideo allegedly shows Iranian men "risking their lives" to protect women
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
-18% 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
- 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:
38% : The video was posted to TikTok on Wednesday by Goldie Ghamari, a member of Provincial Parliament (MPP) in Ontario, Canada, who wrote: "Unarmed Iranian men risking their lives protecting Iranian women against the illegitimate and terrorist Islamic regime in Iran.36% : Iran's "morality police" reportedly arrested Amini on September 13 and beat her before transferring her to the Vozara Detention Center in Tehran.
30% : In protest, female university students in Tehran removed their headscarves and chanted, "We don't want forced hijab."
28% : Protests erupted throughout Iran on September 16 after the death of Mahsa Amini -- a 22-year-old Kurdish woman accused of breaking a strict law requiring women to fully cover their hair with a hijab or headscarf in public.
*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.