Ahead of unprecedented election, looking for lessons in America's past - The Boston Globe
- Bias Rating
20% Somewhat Conservative
- Reliability
40% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-30% 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
15% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
50% : This election also will affect the futures of the combatants in the Middle East, where American aid is a powerful, possibly decisive, element; in Ukraine, where future shipments of American weapons are at stake; in Russia and North Korea, where the unusual personal relationships leaders have with Trump are a factor that is unpredictable but unavoidable; and in China, which is both a vital trading partner and a possible military foe.41% : The independent candidate, former governor George C. Wallace of Alabama, whose angry, populist appeal in some ways was a precursor to Trump's, carried five states in an election whose outcome was uncertain on Election Day and that Nixon won with a majority of less than a single percentage point.
35% : "The theory is that if Trump gets in again, he will understand the levers of power better and will be able to do unimaginable things.
34% : We have a pretty good idea what Trump would do, though Harris has been obscure about what she would do.
32% : "Populists of the right or left bring a significant number of issues into the mainstream, the way Trump has.
28% : Nixon was a divisive figure, like Trump, loathed by his opponents but warily respected by many for his political canniness, inexhaustible ambition, and personal force.
*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.