G.O.P. Election Reviews Create a New Kind of Security Threat

Sep 02, 2021 View Original Article
  • Bias Rating

    -2% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    10% Center

  • Politician Portrayal

    38% Negative

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.

Sentiments

Overall Sentiment

N/A

  •   Conservative
SentenceSentimentBias
"The security of American elections has been the focus of enormous concern and scrutiny for several years, first over possible interference or mischief-making by foreign adversaries like Russia or Iran, and later, as Mr. Trump stoked baseless fears of fraud in last year's election, over possible domestic attempts to tamper with the democratic process."
Negative
-16% Liberal
"This has always been about election integrity, Karen Fa, the Republican leader of the Arizona Senate, which authorized that state's election review, said in an interview posted on the state party's website last month."
Positive
2% Conservative
"The lawyer, Michael DePerno, posted a video from a conservative news site featuring a technical consultant who went to elaborate and highly implausible lengths to try to show that votes in the county -- which Mr. Trump carried by a wide margin -- could have been switched."
Negative
-14% Liberal
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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

42% : The security of American elections has been the focus of enormous concern and scrutiny for several years, first over possible interference or mischief-making by foreign adversaries like Russia or Iran, and later, as Mr. Trump stoked baseless fears of fraud in last year's election, over possible domestic attempts to tamper with the democratic process.

*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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