LegCo elections demonstrate maturity of governance model
- Bias Rating
- Reliability
10% ReliableLimited
- Policy Leaning
-64% Medium Left
- Politician Portrayal
N/A
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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
33% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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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:
62% : Future legislative work must continue strengthening this foundation through modernized commercial laws, refined regulatory frameworks for emerging sectors, and legislation that keeps pace with demographic changes.59% : This undertaking will significantly assess the new legislature's executive capability and commitment to public welfare.
58% : Comparative analysis reveals increased technical expertise in urban planning, public health, and financial regulation -- precisely the skills needed for effective governance.
57% : Targeted legislation should address innovation regulation, intellectual property protections, and professional service modernization.
*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.
