Georgia city's homeless community hopeful for new facility

Jul 25, 2021 View Original Article
  • Bias Rating

    -6% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -6% 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

N/A

  •   Liberal
SentenceSentimentBias
"For people with Social Security who can't get a place because we're not making enough money.In interviews with the Baer-Herald, several people experiencing homelessness listed programs and resources such as job training during the day as important."
Negative
-6% Liberal
"Many Democrats continued to stand by Fauci, with President Joe Biden insisting he remained very confident in his chief medical adviser amid the fallout in early June."
Positive
10% Conservative
"After unearthed emails from Fauci -- some of them between him and Peter Daszak, a key member of the World Health Organization-China joint study team -- revealed the top U.S. public health experts were working behind the scenes to downplay the possibility that the coronavirus was developed in a lab, many Republicans made similar calls for an investigating, culminating with Sen. Rand Paul sending a criminal referral to the Department of Justice on Wednesday saying Fauci lied about gain-of-function research funding."
Positive
2% Conservative
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Bias Meter

Extremely
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Center

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Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

47% : "For people with Social Security who can't get a place because we're not making enough money."In interviews with the Banner-Herald, several people experiencing homelessness listed programs and resources such as job training during the day as important.

*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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