Opinion | I witnessed brutal censorship in Iran. We should all take U.S. book bans as a warning.
- Bias Rating
-50% Medium Liberal
- Reliability
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- Policy Leaning
50% Medium Conservative
- Politician Portrayal
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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
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- Conservative
Sentence | Sentiment | Bias |
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"While teaching in Iran, I became vividly aware of how important this is." | Positive | 24% Conservative |
"For I can tell you: Book bans are canaries in coal mines -- indicators of the direction in which a society is moving." | Positive | 4% Conservative |
"That line often came to mind when I was living in the Islamic Republic of Iran, every time the regime closed a bookstore or a publishing house, every time it censored, baed, jailed or even killed authors." | Negative | -14% Liberal |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
62% : While teaching in Iran, I became vividly aware of how important this is.52% : For I can tell you: Book bans are canaries in coal mines -- indicators of the direction in which a society is moving.
43% : That line often came to mind when I was living in the Islamic Republic of Iran, every time the regime closed a bookstore or a publishing house, every time it censored, banned, jailed or even killed authors.
36% : Opinion: My father told me why even children need to learn about terrible things: So that we don't let them happen againIt is alarming to think that American communities in 2022 are actively seeking to deprive people of the reading experiences for which my students in Iran paid such a heavy price.
34% : I'm aware that the United States is not Iran.
*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.