Daily Republic Article RatingLegislation introduced to battle smoke taint in wine industry
- Bias Rating
28% Somewhat Conservative
- Reliability
40% ReliableAverage
- Policy Leaning
42% Medium Conservative
- Politician Portrayal
18% 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
15% Positive
- Conservative
| 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:
47% : Continued investment in research is essential to provide growers and wineries with the information and tools needed to make timely, science-based decisions - ensuring the long-term viability of the wine industry and its vital contributions to the economy," Natalie Collins, president, California Association of Winegrape Growers and co-chair of the West Coast Smoke Exposure Task Force, said in the statement.19% : "The West Coast wine industry is more vulnerable than ever, yet President Trump and Elon Musk's DOGE are causing chaos by firing and rehiring UC Davis researchers who are making groundbreaking progress in studying these detrimental wildfire smoke impacts.
*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.
