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NY Times Article Rating

How Francis Wooed Donors

  • Bias Rating
  • Reliability

    85% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -17% 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

6% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

Extremely
Liberal

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Center

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Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

57% : I'm focused on economics and public policy.
54% : Trump has responded to bond vigilantes, C.E.O.s and the markets.
48% : A year into his papacy, he created an auditor general and beefed up internal anti-corruption controls.
46% : DealBook spoke with Hughes about how the theory fits into the current moment as President Trump has made dramatic moves to shape the global market and Meta is facing claims in court that it broke antitrust laws.
42% : In his new book, "Marketcrafters," Hughes argues against the idea that a mythical "free market" works best without government interference, or needs such interference only when the market malfunctions.
41% : The New York Times/Siena College poll, published yesterday, found that 55 percent didn't like how Trump was handling the economy, and 53 percent disapproved of his trade policies.
34% : The company is in mediation talks with Trump over his $20 billion lawsuit against the network.
29% : In the United States, overall giving has been on the decline, and nonprofits and foundations are reeling from President Trump's efforts to shut off funding to federal agencies, including the United States Agency for International Development, that address these same issues.

*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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