Hong Kong lawmakers rush through bill targeting 'public enemies'
- Bias Rating
-10% Center
- Reliability
10% ReliablePoor
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
15% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
62% : 'It was already some foreign forces doing something to overthrow the societal order in Hong Kong, so they could overthrow government policy.61% : 'Above all, this is a devastating moment for the people of Hong Kong, hundreds of thousands of whom have previously marched through the streets to demonstrate against repressive laws, including an incarnation of this one in 2003.
48% : 'We urge all those who can wield influence in Hong Kong - from governments and businesses to the UN and the EU - not to neglect Hongkongers in their hour of need, but instead to ramp up pressure on the territory's authorities to respect human rights and repeal all laws that violate them.'The bill comes just a few years after the 2019-2020 freedom protests, which saw millions of Hong Kongers take to the streets to fight against a bill that would've made it easier for people to be extradited to mainland China, where they would be afforded far fewer rights and would have to face a murkier legal system.
*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.