
RECAP: Sherrill debated like a candidate who knows she's in trouble
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
58% Medium Right
- Politician Portrayal
-41% Negative
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Bias Score Analysis
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
19% Positive
- 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:
10% : Congresswoman Sherrill's debate "answers" (and I'm being ridiculously generous by calling them that) consisted of platitudes and shoehorned references to President Trump which, in fairness, is at least consistent since a substance-less, Trump-obsessed messaging strategy has characterized her campaign's messagign to date.10% : Every response followed the same formula as you just witnessed in the cuts posted above: (1) feigned sweetness in her native Virginia Chardonnay accent, (2) word salad, (3) somehow the lack of dressing on the word salad is Trump's fault, and (4) Jack supports 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.