Federal election laws not ready for deepfakes, experts warn
- Bias Rating
-12% Somewhat Liberal
- Reliability
95% ReliableExcellent
- Policy Leaning
-12% Somewhat Liberal
- Politician Portrayal
2% 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
12% Positive
- Liberal
- 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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Contributing sentiments towards policy:
71% : And under current laws, online publishers, like social media firms, face little liability for spreading lies.54% : The reason to fear synthetic media is either because "we think it's going to be uniquely persuasive," or because "it has an ability to scale and reach a certain audience that non-synthetic media does not.
50% : AI will also widen the existing gaps in campaign disclosure laws, Weiner said, like how many online political ads don't include the "I approve this ad" disclaimers you see on TV, or how so-called "dark money" groups can spend limitless amounts without disclosing their donors.
17% : But less extreme exploits, like a synthetic Donald Trump slurring his words as he brags about the more unpopular parts of his record, would probably be legal, even if they're extremely misleading.
*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.