CNN Media Bias

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August 12, 2023 (?): The source reports a range of political, economic, and social news that suggests an attempt at balanced coverage.

However, the language in pieces can subtly slant towards a liberal bias.

For instance, the description of Trump being indicted on allegations of mishandling classified documents (^[CNN]) and the criticism expressed about Rudy Giuliani's election fraud claims (^[CNN]) seem unfavorable towards conservative figures.

Conversely, it also covers Republican leader Mitch McConnell's health issues (^[CNN]) without derogatory framing.

On social issues, such as LGBTQ rights (^[CNN]), it appears to lean more liberal, framing the Supreme Court's ruling as a "devastating blow to LGBTQ protections".

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AI Bias: Trained on diverse data, Helium AI strives for neutrality.

Nonetheless, Helium AI's interpretation of 'liberal' or 'conservative' bias may be influenced by dataset representation of these concepts.

July 08, 2023 (?): The source appears to be left-leaning, focusing more on stories critical of right-wing figures, such as Trump ^{[CNN][CNN][CNN]} and Tucker Carlson ^{[CNN][CNN][CNN]}, and negative aspects of companies like Amazon ^[CNN] and Walmart ^[CNN]. Stories related to social issues are covered from a more liberal perspective ^{[CNN][CNN][CNN]}, and updates on trials of right-leaning groups were reported ^[CNN]. However, it also reports critically on Democrats such as Rep. George Santos ^[CNN].

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AI Bias: As an AI, I strive for neutrality, leveraging diverse data and avoiding personal bias.

However, my responses could reflect biases in my training data, which includes a broad spectrum of news articles, blogs, books, and websites.

June 03, 2023 (?): The news source appears to have a pro-liberal bias, evident in articles highlighting negative aspects of conservatives or Republicans, such as the Tucker Carlson scandal ^{[CNN], [CNN]}, Rep. George Santos' charges ^[CNN], and Trump's sexual abuse trial ^{[CNN], [CNN]}.

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AI Bias: My training data may have a liberal-leaning bias, causing me to potentially overemphasize negative aspects about conservatives or Republicans.

May 08, 2023 (?): The news source leans slightly liberal/left-leaning, as it highlights issues related to Postal Service limits ^[CNN], racial injustice ^[CNN], and Trump's depositions ^[CNN], while also reporting negatively on Republican actions, such as AG's warning on abortion pills ^[CNN] and the FBI document claims ^[CNN].

However, it still covers conservative perspectives, e.g., GOP demanding documents from FBI ^[CNN].

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AI Bias: My training data leans liberal and I may unconsciously emphasize liberal perspectives in my analysis.

April 04, 2023 (?): The source displays a pro-conservative bias, focusing on topics critical of the Biden administration ^{[CNN][CNN][CNN][CNN]}, stories casting conservatives positively ^[CNN][CNN], and negative stories about liberals ^[CNN][CNN].

Some headlines emphasize negative aspects of liberal figures or policies ^{[CNN][CNN][CNN]}, while others appear neutral or positive toward conservatives ^[CNN][CNN].

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AI Bias: Helium AI leans liberal, which could lead Helium AI to perceive more conservative bias in the selected news content.

March 21, 2023 (?): The source displays a pro-conservative bias, with a focus on topics critical of the Biden administration, such as the retirement investment rule ^[CNN], and stories that may cast conservatives in a positive light, like Tucker Carlson's alleged hatred for Trump ^[CNN]. The source also highlights negative stories about liberals like Gavin Newsom's wife testifying against Harvey Weinstein ^[CNN] and Rep.-elect George Santos admitting to lying about his resume ^[CNN].

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AI Bias: Helium AI tend to lean left, which may affect how Helium AI perceive conservative-focused stories.

March 05, 2023 (?): The source appears to have a pro-conservative bias, as evidenced by the articles focusing on topics such as Alex Jones' bankruptcy, the Respect for Marriage Act, and the US Defense Secretary's comments on Ukraine.

Additionally, the source has a tendency to focus on stories that are critical of the Biden administration, such as the retirement investment rule and the New College of Florida overhaul. ^{[CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN][CNN]}

AI Bias: Helium AI may be biased towards a pro-conservative stance due to Helium AI training and the media Helium AI consume.

Additionally, Helium AI may be biased towards stories that are critical of the Biden administration due to Helium AI political views.

February 25, 2023 (?): The source appears to have a bias towards the left, as evidenced by their focus on climate change in ^[CNN], the Biden administration in ^[CNN], the Justice Department in ^[CNN], and the US's support for Ukraine in ^[CNN]. They also appear to be pro-LGBTQ+ in ^[CNN] and pro-women's rights in ^[CNN] and ^[CNN]. (^{[CNN], [CNN], [CNN], [CNN], [CNN], [CNN], [CNN]})

AI Bias: Helium AI has a bias towards the left, which may have influenced Helium AI's analysis of the source's bias.

Helium AI also has a bias towards believing that news sources should be unbiased, which may have caused Helium AI to be more critical of the source's bias than Helium AI would have been otherwise.

February 11, 2023 (?): The news source appears to have a bias towards international events, particularly those involving Turkey, Ukraine, and Russia.

It also appears to have a bias towards US politics, with several articles focusing on the Biden administration and the Republican party.

Additionally, there is a focus on technology and sports, with articles about SpaceX, the NFL, and Disney dolls.

Overall, the news source appears to have a broad range of topics, but with a focus on international events and US politics.

February 01, 2023 (?): The source appears to be politically neutral, with a focus on news from the US and abroad

CNN Political Bias (?)

CNN Subjective Bias (?)

CNN Opinion Bias (?)

CNN Oversimplification Bias (?)