Financial Times Article RatingWhat the polls can't tell us about America's election
- Bias Rating
26% Somewhat Conservative
- Reliability
60% ReliableFair
- Policy Leaning
42% Medium Conservative
- Politician Portrayal
-13% 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
6% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
70% : By way of explanation, Fredi9999 has insisted that he has "no political preference" and simply sees Trump as a big favourite.42% : FiveThirtyEight infamously gave Trump only a 29 per cent chance in 2016 -- but 29 per cent chances happen all the time.
20% : As a result, they were wrong about Trump eight years ago -- not to mention Brexit in the UK.
20% : No matter how much we pore over the polls and the results, we will never know exactly why Harris or Trump won the 2024 election, and no probabilistic forecast is ever strictly "wrong".
*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.