Hipkins hits NZ Nats on Maori record as election nears
- Bias Rating
84% Very Conservative
- Reliability
35% ReliableFair
- Policy Leaning
84% Very Conservative
- 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
- 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:
48% : Mr Hipkins has used these potential partnerships as a platform to attack National, labelling it as radical and "responsible for race-baiting".44% : Polling shows public sentiment is behind National and the right, and Mr Hipkins concedes Labour has not done enough to win over Kiwis.
41% : "National has faced criticism for its lack of Maori representation, with only three elected MPs in its 34-strong caucus.
40% : National has vowed to scrap them, restricting their use to the management of natural assets as agreed in treaty settlements.
39% : "In this election I've talked about how disappointing it's been for National, ACT and New Zealand First to use race to divide us," Mr Hipkins said.
28% : On Thursday, he used a speech at a Maori meeting place in southern Auckland to ratchet up his criticism, including National.
*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.