Kim Kardashian ‘scared out of her mind’ to tell Kanye West she’d hired new male nanny.

[ 19/10/2023 05:00 ] Read on metro.co.uk

Report Overview: The article has a score of 80 because out of the 10 statements made, 2 of them contain manipulations.

Sides Objectivity Scores

Kim Kardashian (100)

Kanye West (60)

Sides Representation Balance

Favored Side

Kim Kardashian

Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.

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Detected Manipulations & Suggested Changes

Omission of key information

Leaving out important details that could provide a more balanced perspective.

The article focuses on Kim Kardashian's perspective and her fears about telling Kanye West about hiring a male nanny. It does not provide any information about Kanye West's reaction or perspective.

Include Kanye West's reaction and perspective on the hiring of a male nanny.

Provide a more balanced view by including both sides of the story.

Biased language

Using language that favors one side over the other.

The article refers to Kim Kardashian's fears as 'unfounded' and portrays Kanye West as welcoming the nanny with open arms.

Use neutral language to describe Kim Kardashian's fears and Kanye West's reaction.

Avoid portraying one side as more favorable than the other.

Spread the Truth

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- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.