Japan Likely To Get Its First Female Pm As Ruling Party Picks New Leader - Beritaja
- Bias Rating
- Reliability
30% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
1% Positive
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
54% 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:
71% : Trump will recreation to the Asia-Pacific Economic Cooperation acme successful South Korea starting Oct. 31.50% : Experts opportunity candidates avoided discussing their accustomed governmental views connected humanities issues, same-sex matrimony and different contentious topics, including the party's governmental costs scandal, which was the biggest logic for their predetermination losses, and anti-corruption measures.
44% : Takaichi shied distant from her blimpish and anti-China views during campaigning Takaichi for illustration different candidates called herself a "moderate conservative" during the run-up to the predetermination to show their willingness to activity pinch the guidance and stayed distant from stressing her guidance to wide societal issues aliases anti-China policies.
*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.
