Los Angeles Times column explores mandatory voting, fining people who don't participate
View Original Article70% Very Conservative
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
*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.
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
*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.
70% Negative
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Reliability Score Analysis
The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.
- Opposite Sources as Poor for the lower number of sources with different viewpoints.
- Unique Sources as Poor for the lower number of different sources.
- Multiple Sources as Poor for the lower number of total sources.
- Multiple Quotes as Poor for the lower number of quotes used in the article.
- Quote Length as Poor for the lower number of words used in each quote.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 0% Poor (Grade F) Multiple Sources: 0% Poor (Grade F) Multiple Quotes: 0% Poor (Grade F) Quote Length: 0% Poor (Grade F)
Bias 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.
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Politician Portrayal Analysis:
This article includes the following Politician Portrayal sentiments, providing an average sentiment of 70% Negative and bias score of 70% Conservative:
1 negative sentiment for Chuck Schumer
1 negative sentiment for Kyrsten Sinema
"When Senate Majority Leader Chuck Schumer forced a vote on the filibuster, Sen. Joe Manchin, D-W.Va., along with Sen. Kyrsten Sinema, D-Ariz., voted against it, emphasizing that a party line vote to change the filibuster-vote threshold to 51 was going too far."
This is a negative sentiment.
"When Senate Majority Leader Chuck Schumer forced a vote on the filibuster, Sen. Joe Manchin, D-W.Va., along with Sen. Kyrsten Sinema, D-Ariz., voted against it, emphasizing that a party line vote to change the filibuster-vote threshold to 51 was going too far."
This is a negative sentiment.
"ROLLING STONE RIPS MANCHIN FOR NOT 'SAVING DEMOCRACY,' PORTRAYS BIDEN AS INEFFECTIVE IN PUSHING VOTING BILLS"
This is a negative sentiment.
Politicians:
Joe BidenChuck Schumer
Kyrsten Sinema
Sentiments
-46% When Senate Majority Leader Chuck Schumer forced a vote on the filibuster, Sen. Joe Manchin, D-W.Va., along with Sen. Kyrsten Sinema, D-Ariz., voted against ..."
-46% When Senate Majority Leader Chuck Schumer forced a vote on the filibuster, Sen. Joe Manchin, D-W.Va., along with Sen. Kyrsten Sinema, D-Ariz., voted against ..."
-100% """
*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
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:
% :*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.