- Bias Rating
28% Medium Conservative
- Reliability
60% ReliableFair
- Policy Leaning
28% Medium Conservative
- Politician Portrayal
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
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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
N/A
Sentence | Sentiment | Bias |
---|---|---|
"Because marijuana is still illegal at the federal level, every casino-hotel prohibits smoking caabis and licensed consumption lounges have been slow to open." | Negative | -28% Liberal |
"Ensuring greater policy coordination between the SEC and the Senate Banking Committee, he tapped Corey Frank -- a former top aide to Senate Banking Chair (and notable crypto critic) Sherrod Brown -- to help lead the agency's approach to digital assets." | Positive | 0% Conservative |
"This is in addition to his close ties with Senator Elizabeth Warren, another prominent member of the Senate Banking Committee who recently vowed to mount an Anti-Crypto Army." | Negative | -10% Liberal |
"As Paradigm Policy Director Justin Slaughter tweeted, If we're discussing the SEC's enforcement actions against key crypto companies, we're not discussing the McHenry-Thompson bill." | Negative | -26% Liberal |
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
36% : Because marijuana is still illegal at the federal level, every casino-hotel prohibits smoking cannabis and licensed consumption lounges have been slow to open.*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.