When policy fails, bribe voters with student loan forgiveness -- ...
- Bias Rating
Center
- Reliability
25% ReliablePoor
- Policy Leaning
-10% Center
- Politician Portrayal
30% Negative
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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
9% Positive
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
"In other words, it's the classic Biden policy: public posturing about helping the downtrodden that's actually a gift to the privileged in a bid to help him." | Positive | 22% Conservative |
"In other words, it's the classic Biden policy: public posturing about helping the downtrodden that's actually a gift to the privileged in a bid to help him." | Positive | 12% Conservative |
"The overall number of beneficiaries, the White House says, will be around 30 million, so this tranche will add at least hundreds of millions to the $146 billion Biden has forgiven student-loan debtors so far." | Negative | -8% Liberal |
"For all Biden's blather to the contrary, the majority who don't go to college (or who pay off their loans) get hurt: It's just another bill, or at least more federal debt for the grandkids to repay, and more inflation for the Fed to fight with even higher interest rates." | Negative | -16% Liberal |
"What's behind the latest Biden latest student-loan-forgiveness plan?Possibly that his massive public sellout of Israel to genocidal terrorists isn't moving the needle enough on his campaign's internal polls -- so it's time to again try directly bribing Dem voters instead." | Negative | -18% Liberal |
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Contributing sentiments towards policy:
61% : In other words, it's the classic Biden policy: public posturing about helping the downtrodden that's actually a gift to the privileged in a bid to help him.*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.