Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
The article uses sensational language to describe Kim Kardashian's reaction to being roasted by Robin Williams.
Kim Kardashian has revealed that she cried after being roasted by Robin Williams back in 2013.
Change the language to a more neutral tone.
The article selectively focuses on negative comments about Kim Kardashian's fashion choices and ignores any positive feedback.
While looking back at some of her previous Met Gala looks, Kardashian asked West what she thought about the floral Givenchy maternity dress she wore when she was pregnant with her back in 2013. “I really don’t like that one,” West said, while fellow reality star Scott Disick chimed in, “Nobody liked that one.”
Include a balanced representation of feedback on Kim Kardashian's fashion choices.
The article uses biased language to describe Donald Trump's comments about Kim Kardashian.
Earlier this month, Donald Trump described Kardashian as the “world’s most overrated celebrity”.
Use neutral language to describe Donald Trump's comments.
- 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.