NewsBusters Article Rating

PBS, CBS Turn to 'Nonpartisan' Trump Hater to Pre-Spin Trump 2024 Election Denial

Sep 08, 2024 View Original Article
  • Bias Rating

    50% Medium Conservative

  • Reliability

    75% ReliableGood

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -63% 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

-15% Negative

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

46% : But what if Trump wins narrowly and the Democrats become the election deniers again (like 2000, 2004, and 2016)?
34% : On the September 3 PBS News Hour, deeply biased White House reporter Laura Barron-Lopez brought on David Becker for a segment titled "How Trump has made election lies a key feature of his campaign."
29% : But this wasn't just about Trump denying he lost the election in 2020.
23% : Most of it was about "pre-denial," or how Trump would spin a loss in the 2024 election.
22% : Barron-Lopez was most offended that "Trump and his allies have also claimed, without evidence, that noncitizens are voting in large numbers...
18% : Brianna Lyman at The Federalist noted Becker appeared on CBS's Face The Nation last Sunday and smeared Trump and Elon Musk in with foreign dictatorships in spreading election disinformation:
12% : "Becker claimed Trump is raising this Fake News so he can explain "to his sincerely disappointed supporters if he loses, and then perhaps incite anger and division and donations and even violence in the post-election period.

*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.

Copy link