Understand the bias, discover the truth in your news. Get Started
Pressenza Article Rating

Three Socialist Candidates Backed by Mamdani Win New York Primaries

  • Bias Rating

    -40% Somewhat Left

  • Reliability

    35% ReliableAverage

  • Policy Leaning

    -40% Somewhat Left

  • Politician Portrayal

    14% Positive

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

38% Positive

  •   Liberal
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:

65% : These victories reveal the growing influence of the wing of the Democratic Party that defines itself as democratic socialist and looks to Senator Bernie Sanders as a role model, and they demonstrate that those who are not afraid to speak plainly on "hot-button" issues such as immigration and Israel are ultimately rewarded by voters.
45% : All ran campaigns very similar to the one that led to Mamdani's victory in November -- door-to-door canvassing, dynamic, modern, and irreverent use of social media, small donations, and concrete, bold proposals addressing the city's cost of living -- while also incorporating broader, more radical issues such as dismantling ICE and criticizing the Israeli government.
36% : "It's time for the Democratic Party to distance itself from dark money, crypto-funded PACs, Wall Street, artificial intelligence, and AIPAC (the American Israel Public Affairs Committee, the all-powerful pro-Israel lobby.

*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