The Atlantic Article Rating

How 2024 Could Transform American Elections

  • Bias Rating

    -32% Somewhat Liberal

  • Reliability

    55% ReliableFair

  • Policy Leaning

    -16% Somewhat Liberal

  • Politician Portrayal

    -49% 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

27% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

63% : The group decided to set aside divisive social issues such as abortion and gender identity and focus exclusively on areas where they could find common ground.
50% : In 2020, the transformation of the state's election system was packaged into a single ballot question with other proposed changes, most notably a popular push to ban "dark money" in state campaigns.
49% : "You really can see in Congress a difference with as few as 10 senators," she said, citing comprehensive immigration reform as an example.
41% : In its most recent session, Alaska's Senate overcame years of acrimony and deadlock to pass major bills to increase spending on public schools, combat climate change and a state energy shortage, and strengthen penalties for drug dealers.
25% : But a video on his campaign's website leads with quotes from Donald Trump, who has denounced "ranked choice crap voting" as "a total rigged deal.

*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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