AxiosAxios Today podcast: Big Tech's Big Tobacco moment
- Bias Rating
-20% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
20% Somewhat Conservative
- Politician Portrayal
52% Positive
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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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
55% : So, you know, what are you expecting to see next, when it comes to government regulation of Facebook?54% : And lots of people who know big tech has a problem, who know social media has its problems aren't real clear on what the right solutions are, especially if you're going to do it through legislation, again, where you've got the first amendment and other things.
42% : And even still, it took decades to go from understanding that cigarettes were harmful to meaningful change through regulation and litigation and legislation.
39% : With tobacco, it was a mix of regulation from the FDA laws from Congress and private lawsuits.
*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.