- Bias Rating
12% Somewhat Conservative
- Reliability
N/AN/A
- Policy Leaning
N/A
- Politician Portrayal
82% Positive
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 |
---|---|---|
"Gallego is among the lucky ones." | Positive | 34% Conservative |
"Gallego knows he has to convince us that he indeed is the best choice for our state." | Positive | 34% Conservative |
"Opinion: Ruben Gallego must convince us why he's the best choice." | Positive | 26% Conservative |
"Gallego has the guts to go after such a competitive seat, and that gives other minorities hope that anything is possible in this country." | Positive | 22% Conservative |
"Gallego's story is uniquely Arizona, uniquely American." | Positive | 18% Conservative |
"Gallego launched his official bid after Sen. Kyrsten Sinema decided to ditch the Democratic Party and register as an independent." | Positive | 4% Conservative |
"Gallego launched his official bid after Sen. Kyrsten Sinema decided to ditch the Democratic Party and register as an independent." | Positive | 4% Conservative |
"Rep. Ruben Gallego has a powerful personal story, and nobody can take that away from him." | Negative | -10% Liberal |
"Wiing or losing will not be entirely up to Gallego." | Negative | -14% 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:
% :*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.