Toronto Star Article RatingAisling Murphy: Why do election polls go wrong? I found out one reason when I polled Americans for CNN in 2016
- Bias Rating
10% Center
- Reliability
35% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-23% 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
5% Positive
- 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:
45% : When Election Day rolled around that November, I watched in horror, but not surprise, as Trump was elected into the United States' most sacred office.36% : Like many, I'm cautiously optimistic about the figures I see on sites like FiveThirtyEight suggesting we might have a shot at keeping Trump out of the White House for good.
29% : Plenty of Republicans would tell me they were voting for Trump, but that they were unwilling to complete the survey due to fears of it being rigged or otherwise false.
*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.