
Why Hungary Matters To American Conservatives | The American Conservative
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
56% Medium Right
- Politician Portrayal
-58% Negative
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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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Conservative

Contributing sentiments towards policy:
68% : I would oppose the Orban government on this (while admitting that I could be wrong; given the enormity of the crimes of the Holocaust and Communism, it is not crazy to ban speech denying either).56% : The promotion by Western governments and NGOs of certain aspects of cultural liberalism -- notably on gender identity -- has had mixed results in post-communist and developing countries.
53% : Brexit signalled the beginning of the end of that dystopian construct: others will leave the EU, because of the coming migration crisis - tens of millions will seek to move from Africa and the Middle East, and there will be toxic attempts at "distributing" migrants across the bloc - or because of a populist uprising or economic implosion.
52% : We could be looking at Iran 1979 all over again.
44% : Fidesz capitalized on this with an effective rhetorical campaign against mass immigration into Europe, and a lesser-known set of popular pro-natal incentives such as lifetime exemption from income taxes for women who have a certain number of children.
32% : If we had this kind of debate in the US Congress, anyone who said that the policy should only target traditional families -- that is to say, not families with same-sex parents, or polyamorous families -- would be denounced as the worst kind of bigot.
*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.