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'Revenge Porn' Bill Passes House, Heads to Trump

  • Bias Rating

    -10% Center

  • Reliability

    40% ReliableAverage

  • Policy Leaning

    12% Somewhat Conservative

  • Politician Portrayal

    -22% Negative

Bias Score Analysis

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

Overall Sentiment

-8% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

63% : Trump indicated in March in his speech in front of a joint session of Congress that he intends to sign the bill.
56% : "Advancing this legislation has been a key focus since I returned to my role as First Lady this past January," Melania Trump wrote in a post on X. "I am honored to have contributed to guiding it through Congress.
49% : " Speaker Mike Johnson, R-La., wrote in a post on X that the House "took a critical step to combat the growing online publication of real and deepfake nonconsensual intimate images with the passage of the Take It Down Act.
48% : "With the passage of the Take it Down Act, we can protect future generations from having to experience the pain I went through," she said.
29% : "Tonight we're voting on the 'TAKE IT DOWN Act,' a bill that would impose federal criminal and civil penalties for publishing unauthorized intimate pictures generated with AI," Massie wrote in a post on X. "I'm voting NO because I feel this is a slippery slope, ripe for abuse, with unintended consequences.
22% : " Two House Republicans, Reps. Thomas Massie of Kentucky and Eric Burlison of Missouri, voted against the bill, which requires social media and similar websites to remove such content within 48 hours of being notified of the issue.

*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.

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