- Bias Rating
12% Somewhat Conservative
- Reliability
N/AN/A
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
6% Negative
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Conservative
-100%
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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
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"I hope this ad works to not only destigmatize the use of marijuana, but also forces a new conversation that creates the pathway to legalize this beneficial drug, and forgive those who were arrested due to outdated ideology." | Positive | 2% Conservative |
"For too long, candidates have used the legalization of marijuana as an empty talking point in order to appeal to progressive voters, Chambers said in a press release." | Negative | -18% Liberal |
"After all, support for caabis legalization and growing disgust over racially-biased marijuana arrests are at an all-time high." | Negative | -18% Liberal |
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Bias Meter
Extremely
Liberal
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Center
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-100%
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100%
Conservative
Contributing sentiments towards policy:
51% : "I hope this ad works to not only destigmatize the use of marijuana, but also forces a new conversation that creates the pathway to legalize this beneficial drug, and forgive those who were arrested due to outdated ideology."41% : "For too long, candidates have used the legalization of marijuana as an empty talking point in order to appeal to progressive voters," Chambers said in a press release.
41% : After all, support for cannabis legalization and growing disgust over racially-biased marijuana arrests are at an all-time high.
40% : Support for cannabis legalization and growing disgust over racially-biased marijuana arrests are at an all-time high.
*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.