Opinion | If It's Advertised to You Online, You Probably Shouldn't Buy It. Here's Why.
View Original Article-14% Somewhat 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.
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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.
40% Negative
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Reliability Score Analysis
The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.
- Opposite Sources as Poor for the lower number of sources with different viewpoints.
- Unique Sources as Excellent for a very high number of different sources.
- Multiple Sources as Excellent for a very high number of total sources.
- Multiple Quotes as Excellent for a very high number of quotes used in the article.
- Quote Length as Fair for an average number of words used in each quote.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 100% Excellent (Grade A) Multiple Sources: 100% Excellent (Grade A) Multiple Quotes: 100% Excellent (Grade A) Quote Length: 50% Fair (Grade C)
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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Politician Portrayal Analysis:
This article includes the following Politician Portrayal sentiments, providing an average sentiment of 40% Negative and bias score of -14% Liberal:
1 positive sentiment for Ted Cruz
1 positive sentiment for Elizabeth Warren
"In 2019, President Donald Trump's campaign team flooded Facebook with targeted ads bearing inflammatory messages."
This is a negative sentiment.
"Congress is considering a comprehensive privacy bill, the Federal Trade Commission is writing new privacy regulations and an unlikely coalition of senators, including Ted Cruz and Elizabeth Warren, just last week proposed a bill that would end conflicts of interest among ad tracking companies."
This is a positive sentiment.
"Congress is considering a comprehensive privacy bill, the Federal Trade Commission is writing new privacy regulations and an unlikely coalition of senators, including Ted Cruz and Elizabeth Warren, just last week proposed a bill that would end conflicts of interest among ad tracking companies."
This is a positive sentiment.
Politicians:
Donald TrumpTed Cruz
Elizabeth Warren
Sentiments
2% Congress is considering a comprehensive privacy bill, the Federal Trade Commission is writing new privacy regulations and an unlikely coalition of senators, including Ted ..."
-16% In 2019, President Donald Trump's campaign team flooded Facebook with targeted ads bearing inflammatory messages."
-100% """
*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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Moderately
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Center
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Moderately
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Very
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Extremely
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-100%
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Contributing sentiments towards policy:
% :*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.