NPRTech giants pledge action against deceptive AI in elections
- Bias Rating
6% Center
- Reliability
80% ReliableGood
- Policy Leaning
-12% Somewhat Liberal
- Politician Portrayal
-65% Negative
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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
-5% Negative
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
53% : States are moving faster, with lawmakers in some 32 states introducing bills to regulate deepfakes in elections since the beginning of this year, according to the progressive advocacy group Public Citizen.51% : In the U.S., a range of proposed federal laws regulating the technology, including banning deceptive deepfakes in elections and creating a new agency to oversee AI, haven't gained much traction.
48% : "The companies rolled out the agreement at the Munich Security Conference, an annual gathering of heads of state, intelligence and military officials and diplomats dubbed the "Davos of Defense.
*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.