U.S. Elections Market Impact: What Does History Show?
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
N/A
- Politician Portrayal
-51% 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
18% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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:
42% : This is largely due to the uncertainty surrounding potential policy changes that could affect international trade, economic growth, and geopolitical stability.26% : For example, Obama entered the White House when the U.S. economy was just about to start recovering following the great financial crisis of 2007-2008, whereas Trump may be said to be less fortunate as he faced the unprecedented Covid crisis during the final year of his presidency', says Kar Yong Ang, Octa's analyst.
*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.
