She Won the Psychological Battle But...
- Bias Rating
50% Medium Conservative
- Reliability
65% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-32% 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
-4% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
71% : And it was the perfect projection of: This is how I'm going to handle Trump.54% : Like, it was as though her team had advised her to make like, the most meme-worthy expression possible when she was looking at Trump.
45% : I mean, you can question her answers, but I think she has demonstrated this ability to speak in a presidential way and, crucially, to react to Trump and not be rattled.
42% : I mean, he had tons of room to also say, "Hey, you didn't answer that question about, you know, your pivot on fracking, your pivot on Medicare for All, et cetera.
36% : Uh, the thing that stuck with me -- one of the moments -- I think, was Trump wouldn't say whether he wanted Ukraine to win the war against Russia.
33% : She needed to trigger Trump.
32% : You did everything possible to kill Obamacare.
29% : The result was that Trump was too distracted to land many punches.
29% : So on a recent episode of this show, George Conway was on, and we talked about the explicit strategy of mocking and goading Trump that they were trying out at the Democratic National Convention.
28% : What about Trump?
28% : Trump was off his game.
27% : I mean, you know, I think one thing that helped Harris a lot -- and we'll probably get more to this -- one of the questions that Trump got was about abortion.
23% : Because it went very wrong for Trump.
*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.