
Report: Mexico Attempted To Pay For the Wall Multiple Times, But US Treasury Doesn’t Take Discover
View Original Article-36% Moderately Liberal
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*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.
-42% Moderately Liberal
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*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.
16% 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.
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Policy Leaning Analysis:
Politician Portrayal Analysis:
This article includes the following Politician Portrayal sentiments, providing an average sentiment of 16% Negative and bias score of -16% Liberal:
This sentence includes Positive entity towards "Donald Trump", providing a 22% Conservative
This sentence includes Negative entity towards "Donald Trump", providing a -20% Liberal
This sentence includes Negative entity towards "Donald Trump", providing a -14% Liberal
This sentence includes Negative entity towards "Donald Trump", providing a -6% Liberal
This sentence includes Positive entity towards "Donald Trump", providing a 4% Conservative
"I have been inspired and persuaded by Mr. Trumpu2019s campaign rallies."
This is a positive sentiment.
"nUnfortunately, the agent quickly reminded the former president that America u2018doesnu2019t take Discover,u2019 causing Trump to lunge at him, requiring the secret service to separate the two."
This is a negative sentiment.
"Trump muttered."
This is a negative sentiment.
"Trump asked his staff, with the agent sitting only feet away."
This is a negative sentiment.
"nShortly after the 2016 election, a low-level Trump staffer received a series of voicemails from then-Mexican President Enrique Pena Nieto."
This is a positive sentiment.
Policies:
Border WallPoliticians:
Donald TrumpSentiments
4% nShortly after the 2016 election, a low-level Trump staffer received a series of voicemails from then-Mexican President Enrique Pena Nieto."
-6% Trump asked his staff, with the agent sitting only feet away."
-14% Trump muttered."
-20% nUnfortunately, the agent quickly reminded the former president that America u2018doesnu2019t take Discover,u2019 causing Trump to lunge at him, requiring the secret service to ..."
-42% "MEXICO CITY— Members of the previous administration were dealt some rather embarrassing news Friday when it was learned that Mexico had been attempting to ..."
*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
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Contributing sentiments towards policy:
29% : MEXICO CITY— Members of the previous administration were dealt some rather embarrassing news Friday when it was learned that Mexico had been attempting to pay for a border wall, but the US Treasury does not take Discover Card.*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.