Newsweek Article RatingFact Check: Is Kamala Harris' explicit 'get ahead' CNN interview real?
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
N/A
- Politician Portrayal
92% 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
N/A
| Sentence | Sentiment | Bias |
|---|---|---|
| "Kamala Harris: I think we should, yes." | Positive | 30% Conservative |
| "The video is doctored footage of Kamala Harris from her 2019 CNN appearance, where she was talking about climate change and the use of plastic straws." | Negative | -4% Liberal |
| "The ClaimA tweet posted on August 15, 2022, shows Kamala Harris talking at what looks like a CNN event with the question Should women give h*** to get ahead? displayed on screen." | Negative | -10% Liberal |
| "During the clip, sections of Harris' speech are carefully censored to make it sound as if she is taking about oral sex." | Negative | -22% Liberal |
| "The video has been doctored and the audio edited to make it seem as if Harris was talking about oral sex." | Negative | -24% Liberal |
| "Vice President Kamala Harris is no new victim to this type of misinformation; comments she made about her pronouns at a recent White House event were pulled far out of context to enrage right-wing critics." | Negative | -28% Liberal |
| "Harris isn't the only politician to have been mocked using digitally manipulated and deep-fake media in the past few days." | Negative | -46% Liberal |
| "A tweet by comedy writer Keaton Patti went viral this week with screenshots of several fake ads he claimed to have seen on Donald Trump's Truth Social; these included a Covid-19 vaccine radar and Mike Lindell's MyStraw." | Negative | -50% Liberal |
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Contributing sentiments towards policy:
% :*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.