Voting rights and affirmative action top Jackson's Supreme Court docket
- Bias Rating
42% Medium Conservative
- Reliability
N/AN/A
- Policy Leaning
-54% Medium Liberal
- Politician Portrayal
10% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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:
55% : The court took Sackett v. Environmental Protection Agency in January on appeal from the 9th U.S. Circuit Court of Appeals and is positioned to rule in some way on what kinds of bodies of water constitute "waters of the United States" under the federal jurisdiction of the Clean Water Act.50% : The Supreme Court agreed in January to take up a pair of cases related to race-based admissions policies at two major universities, adding affirmative action to the hot-button issues justices are considering for the fall term.
49% :Gay rights and religious liberty
47% : Jackson's first term will be marked by several major disputes, including voting rights, affirmative action in college admissions, and finding a balance between religious liberty and gay rights.
35% : Beyond religious liberty, the case will tackle the issue of free speech.
*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.