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 grab attention.
Kim Kardashian reveals her pregnant sister Kourtney wasn't at her birthday bash because she was on 'bed rest'
Change the headline to a more neutral tone: 'Kourtney Kardashian's absence from Kim Kardashian's birthday explained'
The headline implies a dramatic reason for Kourtney's absence.
Kim Kardashian reveals her pregnant sister Kourtney wasn't at her birthday bash because she was on 'bed rest'
Change the headline to accurately reflect the reason for Kourtney's absence: 'Kourtney Kardashian couldn't attend Kim Kardashian's birthday due to bed rest'
The article fails to mention the reason for Kourtney's bed rest.
Kourtney is expecting her first child with husband Travis Barker, with Kim explaining in a Sunday Instagram post why she wasn't there
Include the reason for Kourtney's bed rest in the article to provide more context.
- 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.