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La Crosse Tribune Article Rating

Understanding Barriers to Mental Health Care for Rural Americans

  • Bias Rating
  • Reliability

    85% ReliableGood

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    N/A

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

-15% Negative

  •   Liberal
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Bias Meter

Contributing sentiments towards policy:

69% : Contact your U.S. senators and representatives through letters and phone calls to co-sponsor and pass the EPIC Act.
65% : This is why legislation like the Ensuring Pathways to Innovative Cures (EPIC) Act, being considered in Congress, is essential for many people in rural areas.
64% : Developing more effective and accessible treatments is critical for rural populations, which is why the EPIC Act, which will encourage such development, is so important for people struggling with mental illness.
64% : Learn more about efforts to increase access to mental health services in rural areas, such as the EPIC Act currently introduced in the U.S. House and Senate, by visiting ruralminds.org/rural-policy-legislation.
58% : "Programs like Rural Minds are working to normalize conversations around mental health in rural communities.
51% : This legislation supports research and development for "small molecule" medicines - basically pills - which are easier to produce and access in rural areas with limited health care services.

*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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