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

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Published May 25, 2023
Source Analysis Score
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The Source Analysis Score focuses on assessing the quality of sources and quotes used including their number, lengths, uniqueness, and diversity.
60% ReliableFair
Bias Rating
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The Bias Rating is computed based on a number of factors including bias loaded words, sentiments towards certain political policies, author bias towards politicians, and the amount of tone found in the article.

-6% Center

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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.

Policy Leaning
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The policy leaning score is derived from author biases for or against a certain political policy, as found in articles.

-2% Center

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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.

Politician Portrayal
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The politician leaning score is determined by the author's tone and leaning towards the specific politician mentioned in the article.

22% Negative

Overall Sentiment

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Opposite Viewpoint
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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 Poor for the lower number of different sources.
  • Multiple Sources as Good for a higher number of total sources.
  • Multiple Quotes as Excellent for a very high number of quotes used in the article.
  • Quote Length as Excellent for a very high number of words used in each quote.

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.


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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