Understand the bias, discover the truth in your news. Get Started
NY Times Article Rating

South Carolina Says PFAS-Contaminated Farmland Should Be Superfund Site

  • Bias Rating

    10% Center

  • Reliability

    75% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -21% 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

-19% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

68% : President Trump has declared the program, and clean air and water generally, a priority.
49% : It also reduces the use of synthetic fertilizers made from fossil fuels.
45% : Christopher Higgins, a professor of civil and environmental engineering at the Colorado School of Mines and an early researcher of contaminants in sewage sludge, said there wasn't yet an established, cost-effective way of cleaning up such a vast area of farmland.
39% : Kim Weatherford, who lives 12 miles from the Galey & Lord site with her husband and son, learned there was a problem with her well in July 2021 when state environmental officials came to test her water.
28% : Cities and states across the country, including South Carolina, have sued PFAS manufacturers accusing them of causing environmental contamination and misleading the public by denying that PFAS presented harm to human health.

*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.

Copy link