Washington Post Editor-at-Large Robert Kagan Resigns Over Paper's Decision Not to Endorse Kamala Harris
- Bias Rating
-6% Center
- Reliability
65% ReliableFair
- Policy Leaning
6% Center
- Politician Portrayal
-37% 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
7% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
55% : In 2016, he left the Republican party over its nomination of Trump as its standard bearer and endorsed Hillary Clinton.42% : ""If Trump does win the election, he will immediately become the most powerful person ever to hold that office," wrote Kagan at the time, lamenting that "we continue to drift toward dictatorship, still hoping for some intervention that will allow us to escape the consequences of our collective cowardice, our complacent, willful ignorance and, above all, our lack of any deep commitment to liberal democracy.
*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.