Stop bombing Gaza :: World News
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
-12% Somewhat Left
- Politician Portrayal
-19% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
25% Positive
- 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:
66% : "This is a very special day, maybe unprecedented," Trump said from behind the Resolute Desk in the Oval Office, adding that: "I look forward to having the hostages come home to their parents.57% : " Trump has repeatedly stressed that getting the hostages seized by Hamas in its October 7, 2023 attack on Israel is a priority for him.
55% : Trump later posted a short video message in which he hailed Hamas's statement and thanked US allies including Qatar, Egypt, Saudi Arabia, Turkey and Jordan for mediating.
47% : " Trump also shared the Hamas statement on his social media - in an almost unheard of move for a US president - as did the White House.
44% : Trump posted on Truth Social.
43% : Trump said in the video that: "Everybody will be treated fairly" in the negotiations for a deal.
*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.
