MEPs want to reform how they're elected. Here's how.

May 05, 2022 View Original Article
  • Bias Rating

    -2% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    2% Center

  • Politician Portrayal

    N/A

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

N/A

  •   Conservative
SentenceSentimentBias
"European lawmakers have backed a proposal to reform the way they are elected which they say would allow citizens to have a greater say in how the European Union is run."
Negative
-2% Liberal
"This, in the words of President Joe Biden, is Jim Crow on steroids."
Negative
-4% Liberal
"Biden was simply continuing that trend, and we will surely hear more cries of suppression if Abrams goes on to lose later this year, even if Georgia breaks its turnout record again."
Negative
-10% Liberal
"Biden and the Democratic Party threw a tantrum when Georgia passed its voting law in 2021, as the state reconciled some pandemic reforms that made it easier to vote with reasonable measures designed to keep elections secure."
Negative
-16% Liberal
"Biden pressured Major League Baseball to move its All-Star Weekend out of Atlanta as a punishment, which the league obliged."
Negative
-22% Liberal
"But Biden was the worst offender."
Negative
-32% Liberal
"Biden dared to ask if Republicans have no shame while he smeared them as racist supporters of Jim Crow (or Jim Eagle)."
Negative
-38% Liberal

Extremely
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Center

Somewhat Conservative

Moderately
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Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

49% : European lawmakers have backed a proposal to reform the way they are elected which they say would allow citizens to have a greater say in how the European Union is run.

*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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