Trump's TikTok about-face risks US security -- and his own legacy
- Bias Rating
14% Somewhat Conservative
- Reliability
45% ReliableFair
- Policy Leaning
44% Medium Conservative
- Politician Portrayal
-3% 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
-2% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
80% : Biden deserves accolades for signing the TikTok ban into law, just as Trump deserves praise for changing the national conversation on China in the first place.74% : "We did go on TikTok and we had a great response, we had billions of views," Trump boasted last month.
53% : Trump saw through this illusion, won the presidency and in so doing opened the eyes of the rest of the political class.Americans owe him a debt of gratitude for that service.
41% : In a puzzling reversal, Trump has not only professed to have a "warm spot" in his heart for this virtual weapon, but has actually filed a legal brief urging the Supreme Court to prevent the ban from going into effect, ahead of a hearing set for Friday.
28% : When Trump descended his golden escalator in 2015, the Chinese Communist Party was still benefiting from the United States' failure to see its brutal regime for what it was -- as well as the naïve American hope that integrating the PRC into the global community would yield ideological moderation.
25% : It's proof that Trump had it right the first time: The PRC is a malicious actor with designs on supplanting America as the world's preeminent power.
19% : Donald Trump forged a bipartisan consensus that correctly identifies the People's Republic of China as an enemy deserving of confrontation, rather than appeasement.
*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.