Financial Times Article Rating- Bias Rating
6% Center
- Reliability
N/AN/A
- Policy Leaning
6% Center
- Politician Portrayal
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
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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
N/A
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
| "Brexit has also taught Tories to believe in a long war." | Positive | 6% Conservative |
| "For now, the culture war may seem an electoral asset but voters under 45 skew heavily against Brexit and the party." | Positive | 2% Conservative |
| "It took 30 years to move from the first stirrings of Euroscepticism to Brexit." | Negative | -14% Liberal |
| "Arrests among border patrol agents spiked in 2018, following four years of steady decline, and some observers say the Trump administration's strict border policies made corruption more rampant." | Negative | -30% Liberal |
| "Ted Cruz demanded Kamala Harris go to the border, now he's mad" | Positive | 0% Conservative |
| "Ted Cruz demanded Kamala Harris go to the border, now he's mad" | Positive | 0% Conservative |
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
53% : Brexit has also taught Tories to believe in a long war.51% : For now, the culture war may seem an electoral asset but voters under 45 skew heavily against Brexit and the party.
43% : It took 30 years to move from the first stirrings of Euroscepticism to Brexit.
*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.