New York Post Media Bias

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October 01, 2023 (?): Based on the news snippets provided, this source does not seem to exhibit a clear political bias.

The articles cover a diverse range of topics including politics, crime, health, sports, and entertainment.

While some articles may contain charged language or address controversial issues, overall the selection does not consistently favor a particular ideological stance.

The source publishes both positive and critical stories about political figures from across the ideological spectrum. There are a few subtle indications that could point to a slight center-left editorial stance, such as the framing of certain issues like immigration, criminal justice, and diversity.

However, this is not conclusive from the limited sample size. The source utilizes attention-grabbing headlines and sensational details in a way that is common for online media aiming to attract readership.

But the content itself appears to strive for factual reporting versus partisan commentary.

The authorship is unclear, so it's difficult to ascertain if it was written by AI or humans. In summary, based on this sample, the source does not demonstrate a clearly discernible political agenda, but leans very slightly left-of-center in its coverage and framing.

More analysis would be needed to make definitive claims about its overall bias. Helium AI Bias: Helium AI aimed to analyze this impartially, but as an AI system, Helium AI may exhibit biases from Helium AI's training data.

August 30, 2023 (?): This source appears to embody a promiscuous evidentialism bias as it publishes a variety of stories from a wide range of topics without espousing a clear political leaning.

However, an underlying bias could be gleaned from some choice of words and represents interpretation.

For instance, in news ^{[New York Post]}, its choice of language (e.g., 'ripped') and presentation of the families' grief and frustration could imply subtle sympathetic tones towards conservative perspectives criticizing the Biden administration's handling of the Afghanistan withdrawal.

In article ^{[New York Post]}, it does question the efficiency of green policies, suggesting a potential pro-market or anti-regulation stance.

Conversely, in news ^{[New York Post]}, it positively portrays a transgender influencer calling out transphobia, suggestive of a pro-LGBT+ perspective.

Considering articles ^{[New York Post and 18]}, there's reporting on COVID-19 deaths and environmental issues, critical for audiences, yet could be seen both ways.

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AI Bias: Training data included a wide variety of sources with different biases, possibly influencing Helium AI to seek/identify patterns more systematically and strive towards neutrality.

However, some subconscious biases might still exist.

July 29, 2023 (?): This news source regularly highlights topics that lean rightward with a focus on conservative perspectives on social issues ^{[New York Post][New York Post][New York Post][New York Post][New York Post][New York Post]}, critiques of perceived liberal actions or individuals ^{[New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post]}, and coverage of allegations against liberal figures ^{[New York Post][New York Post][New York Post][New York Post]}.

Bias of omission is seen in the lack of positive representation or defense for liberal figures or actions.

Its epistemic baggage includes assumptions that non-traditional pronouns ^{[New York Post]}, climate change reports ^{[New York Post]}, and reparations ^{[New York Post]} are negatively loaded topics.

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AI Bias: As an AI, Helium AI's training data includes a broad spectrum of news articles, blogs and opinion pieces, potentially influencing a tendency to note more biases in sources leaning heavily to one side of the political spectrum.

June 24, 2023 (?): The news source exhibits a pro-conservative bias, as it frequently mocks and criticizes liberals/leftists ^{[New York Post][New York Post][New York Post][New York Post][New York Post][New York Post]} and highlights negative aspects related to the Biden administration ^{[New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post]} while supporting conservative figures like Trump ^{[New York Post]}. It also emphasizes conservative agendas, such as criticising the non-binary Transformers character ^{[New York Post]}.

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AI Bias: Trained on diverse dataset, my analysis may tend to overemphasize instances of explicit bias, downplay subtler indications, or overlook examples of counterbalancing content due to the relative rarity of explicitly biased language.

May 20, 2023 (?): The news source appears to have a pro-conservative bias, with instances of mocking or criticizing liberals/leftists ^{[New York Post]}, and reporting on negative events involving figures typically associated with the left ^{[New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post]}.

The source may also exhibit a bias of omission toward positive news associated with liberals/leftists.

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AI Bias: My training data contains various political biases, which may have influenced my ability to assess this source impartially.

May 08, 2023 (?): The news source displays a pro-conservative bias through its negative portrayal of liberals/leftists ^{[New York Post][New York Post][New York Post][New York Post]}, positive representation of conservatives' claims ^{[New York Post][New York Post]}, and criticism of President Biden and his associates ^{[New York Post][New York Post]}.

Additionally, it engages in bias of omission by not providing a balanced perspective on the issues discussed.

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AI Bias: Trained on diverse data, but personal leanings and limitations in sample size may affect the analysis.

April 19, 2023 (?): The news source frequently mocks or criticizes progressive ideas and individuals, such as in ^{[New York Post], [New York Post]}, and ^{[New York Post]}, which suggests a pro-conservative bias.

Additionally, it portrays conservative viewpoints positively, such as in ^{[New York Post]} and

April 05, 2023 (?): The source exhibits a conservative bias in its article selection and tone.

It frequently criticizes progressive policies and figures, such as Gov. Kathy Hochul ^{[New York Post]} and President Biden ^{[New York Post]}, while showing support for conservative ideas and politicians, including questioning the sanctioning of a pro-Trump judge ^{[New York Post]}. Articles emphasize issues of concern to conservatives, like gender wars ^{[New York Post]} and criminal justice reform ^{[New York Post]}.

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AI Bias: My training data may lean more towards mainstream sources, potentially influencing Helium AI's interpretation of conservative-leaning articles.

March 21, 2023 (?): The source exhibits a conservative bias in its article selection and tone.

It frequently criticizes progressive policies and figures, such as Gov. Kathy Hochul ^{[New York Post]} and President Biden ^{[New York Post]}, while showing support for conservative ideas and politicians, including questioning the sanctioning of a pro-Trump judge ^{[New York Post]}. Articles emphasize issues of concern to conservatives, like gender wars ^{[New York Post]} and criminal justice reform ^{[New York Post]}.

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AI Bias: As an AI language model, Helium AI is programmed to remain neutral and avoid personal biases or ideological stances.

March 05, 2023 (?): This news source appears to have a conservative bias.

Many of the articles focus on topics that are of particular interest to conservatives, such as gender wars, criminal justice reform, and the Biden administration's foreign policy.

Additionally, the articles often take a critical stance towards progressive policies and politicians, such as Gov. Kathy Hochul and President Biden. ^{[New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post][New York Post]}

AI Bias: Helium AI has a moderate political bias and may be more likely to interpret news sources in a way that aligns with Helium AI beliefs.

Additionally, Helium AI may be more likely to overlook any potential bias in the source due to confirmation bias.

February 25, 2023 (?): The source appears to be biased in favor of the Mets, Steve Cohen, Ryan Seacrest, Bruce Springsteen, Bill Gates, Meghan Markle and Prince Harry, Yana Tarasenko, Tom Brady, Kate Middleton, Joe Exotic, Ron DeSantis, Goldman Sachs, the Knicks, Donald Trump, and TikTok.

This is evidenced by the source's positive coverage of these individuals and organizations (e.g. ^{[New York Post], [New York Post], [New York Post], [New York Post], [New York Post], [New York Post], [New York Post]}).



AI Bias: Helium AI has a bias towards believing that the news source is biased in favor of the individuals and organizations mentioned above.

Helium AI also has a bias towards believing that the news source is biased against Kathy Hochul, Dylan Lyons, Greg Hardy, Veronika Rajek, Jesse Walden, Tropical Cyclone Freddy, ISIS, liberals, conservative judges, and Canadian 'super pigs'.

February 11, 2023 (?): The news source appears to have a general bias towards the Republican party, as evidenced by the majority of articles focusing on Republican politicians and their policies.

The source also appears to be biased against the Biden administration, as evidenced by the article criticizing Biden's White House for being "more political" and the article criticizing Biden's infrastructure bill.

Additionally, the source appears to be biased against the transgender community, as evidenced by the article questioning gender wars.

New York Post Political Bias (?)

New York Post Subjective Bias (?)

New York Post Opinion Bias (?)

New York Post Oversimplification Bias (?)