Yahoo News Article Rating

Democrats are drastically overperforming in 2023's special elections. Is it a clue for Biden vs. Trump?

  • Bias Rating

    -2% Center

  • Reliability

    75% ReliableGood

  • Policy Leaning

    6% Center

  • Politician Portrayal

    -2% 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

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Bias Meter

Contributing sentiments towards policy:

51% :MORE: Where abortion stands in each state a year since the overturning of Roe v. WadeThe data from FiveThirtyEight does not include regularly scheduled off-year elections, including the Wisconsin Supreme Court race earlier this year in which the liberal candidate, now-Justice Janet Protasiewicz, won by 11 points -- in a state famous for its wafer-thin election margins.
46% : However, whether or not this year's special elections are forecasts of next year's results, strategists on both sides of the aisle expected the Democratic drumbeat over abortion and Trump to continue.
45% : Democrats who spoke to ABC News were torn over whether the trend is strong enough to last until November 2024, with some pumping the brakes and others appearing more bullish.MORE: Donald Trump campaigns in Iowa despite new charges"I think it's less of a tea leaf and maybe an inspiration, that if Democrats are able to control the narrative in these races, where they're able to talk to voters about the stakes around abortion and then also contrast the Republicans' focus on the culture war with the real kitchen table issues that a lot of these Democratic candidates are also focusing on -- that there's a path to be able to both motivate more Democrats to turn out and win the swing voters," said Pennsylvania Democratic strategist J.J. Abbott.

*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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