Why the climate blame game is causing a stink in southeast Europe
- Bias Rating
-80% Very Liberal
- Reliability
N/AN/A
- Policy Leaning
22% Somewhat Conservative
- Politician Portrayal
-5% Negative
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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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
53% : "The price of CO2 in the European Union is rising sharply, which is at about 65 euros per ton.50% : Decades later, countries from North Macedonia to Ukraine -- including states that came out of former Yugoslavia such as Serbia, Bosnia & Herzegovina and Kosovo -- now find themselves regularly topping lists of Europe's biggest polluters, almost exclusively because of the industry built during communism.
50% : Shock therapy transition from mainly centralised to free-market economies in the 1990s that produced massive income inequality in former socialist countries has led to wide swathes of the population - especially those who did not benefit from the privatisation of public enterprises - to cling to their jobs and disregard environmental concerns.
47% : There are proposals now that foresee taxes for the carbon footprint of cars, which would be taxed as well and included in the price of the import.
43% : Zrenjanin, a city in northern Serbia, used to be one of those communities that saw immense development during socialism and benefitted from the industrialisation spurred by government subsidies.
41% : Kopač explains that while local inspectors and governments are to blame for the lack of progress in curtailing emissions, EU demand for cheaper energy imports from these areas is also to blame.
41% : "Western Balkan countries, apart from Montenegro, do not have any carbon cap or tax.
*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.