A prisoner of the Party's mistakes, San Fran's killer robots and...
- Bias Rating
96% Very Conservative
- Reliability
N/AN/A
- Policy Leaning
6% Center
- Politician Portrayal
-15% 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:
79% :Donald Trump "shattered the favorable views of free markets that had prevailed since Ronald Reagan's presidency," argues Samuel Gregg at Spectator World, and now GOP "senators like Marco Rubio, Josh Hawley, and soon to be J.D. Vance regularly play off an equivalence between love of country and economic nationalism."48% : Second, "Chinese leaders have analyzed the fall of Communism in Europe in minute detail, and they have drawn its lesson": To "perpetuate their power, they must always inspire fear -- or indeed heighten fear by an ever-tighter control of the population," for "the public will perceive any reform as an admission of weakness."
47% : Yet Goldberg readily smears "villain du jour" Elon Musk for allegedly echoing "an old antisemitic trope" when he called Jewish retired Army officer Alexander Vindman a "puppet & puppeteer.""It says something about the political culture and governance of San Francisco that in the span of just a few years, the city can go from an enthusiastic embrace of dramatic cuts to the police budget, to embracing re-funding the police, to now an embrace of police robots equipped and enabled to use lethal force," marvels National Review's Jim Geraghty, citing a tweet by a district supervisor announcing approval for cops to use the devices.
*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.