The Advocate Article RatingEditorial: The Times-Picayune makes these endorsements in two statewide runoffs
- Bias Rating
-20% Somewhat Liberal
- Reliability
15% ReliablePoor
- Policy Leaning
-36% Somewhat Liberal
- Politician Portrayal
-1% Negative
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:
60% : The Times-Picayune makes the following endorsements:For Attorney General: Liz MurrillLiz Murrill's resume is impressive, and her extensive experience at the highest levels of state government makes her the clear choice to become Louisiana's next chief legal officer.54% : For Secretary of State: Nancy LandryThere was a time when overseeing Louisiana elections was a relatively low-profile job.
53% : Nancy Landry, candidate for Louisiana Secretary of State, speaks during the National Association of Realtor's Riding with the Brand tour stop in Shreveport, Louisiana, at the Shreveport Convention Center Tuesday, Sept. 19, 2023.
51% : We believe Nancy Landry is well-positioned to succeed Secretary of State Kyle Ardoin, who declined to seek reelection.
*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.