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IN-DEPTH: User Data Collected by Overseas Chinese Companies, Such as TikTok, Enables CCP to Influence US Politics

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Source: The Epoch Times bias rating
Published: May 25, 2023
Category:
Topic:
A.I. Bias Rating :

-6% Center

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

*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.

Policy Leaning:

-2% Center

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

*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.

Politician Portrayal:

22% Negative

Opposite Viewpoint:

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.

Policy Leaning Analysis:

Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 22% Negative and bias score of -10% Liberal:

2 negative sentiments and 1 positive sentiment for Donald Trump
1 positive sentiment for Jim Banks
1 positive sentiment for Michael Waltz

Policies:

Protectionist Trade

Politicians:

Donald Trump
Jim Banks
Michael Waltz

Sentiments

6% Trump tweeted that almost one million people had requested tickets for his rally in Tulsa, Oklahoma."
0% In August of 2022, Republican representatives Jim Banks and Michael Waltz wrote a letter to Jeffrey Wichman, the U.S. intelligence community's top official on ..."
0% In August of 2022, Republican representatives Jim Banks and Michael Waltz wrote a letter to Jeffrey Wichman, the U.S. intelligence community's top official on ..."
-2% "These would usually be leftist candidates, but could also be conservative or centrist candidates if they favor free trade with China.""
-6% However, only 6,200 people showed up at the venue that day, which greatly weakened the morale of Trump's campaign team."
-20% On June 20, 2020, as Donald Trump's re-election campaign was in full swing, he fell into a "pitfall" set by TikTok."

*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.

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:

49% : "These would usually be leftist candidates, but could also be conservative or centrist candidates if they favor free trade with China."

*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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