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GRAPHIC-How an election-packed 2024 is shaping up for world markets
- Bias Rating
10% Center
- Reliability
30% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-31% 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
-7% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative

Center
10%
Contributing sentiments towards policy:
59% : Italian assets could suffer if gains for populist parties are seen weakening a commitment to European integration.52% : In an election-packed year, markets have so far shrugged off results, with the focus squarely on the one contest that could reverberate across everything from international trade to emerging market debt: the United States presidential race in November.
52% : Trump has floated the idea of a 10% universal import tariff and levies of 60% or more on China.
45% : In exchange for work toward fair and free elections, the U.S. lifted oil sanctions until mid-April and removed secondary trading bans for certain Venezuelan bonds and state oil company PdVSA's debt and equity.
44% : Much is at stake globally, including aid for Ukraine, if Trump is re-elected.
30% : EU policymakers are concerned he could re-impose tariffs on imports of European steel and aluminum suspended by Biden.
26% : Barclays analysts see the euro falling sharply if tariffs are imposed, and eyeing parity against the dollar, if Trump imposes 20% tariffs on European carmakers.
21% : Trump faces four criminal indictments and just lost a bid to delay a hush money trial.
*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.


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