
Letters to the editor for Saturday, January 4, 2025
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-36% Negative
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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
-6% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Center
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Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
63% : But the man who had people write his school papers for him, Trump, got the job.54% : When it comes to money, Trump is puny; Musk is gigantic.
50% : Marshall H. Tanick, Naples Sticks and stones may break my bones but names will never hurt me.
47% : Trump submarined that bill.
43% : Civil discourse is a critical component of American democracy and public schooling.
41% : To not paying his workers so they lost their homes, Trump.
38% : Trump sees himself as superior, one whose commanding voice will be heeded.
37% : Trump owes money and doesn't pay his bills.
37% : If Trump holds office with Musk, Trump's supporters are hamstrung.
36% : Now I have not changed my mind, but there are other dumb ideas that move west from Europe.
29% : Lea Derence, Naples It was nearly eight years ago, right after he won the presidency, that the newly elected Chief Executive Donald Trump paid some $25 million dollars to wrap up litigation relating to defrauding students at the defunct Trump University.
25% : They just need to keep their disagreements behind closed doors and unite behind Donald Trump.
18% : Trump got everyone upset when he reminded NATO members what their defense funding obligations are.
*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.