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.
Use of dramatic language to attract attention.
The article uses phrases like 'vulnerable videos' and 'painful flare-up' which may sensationalize the condition to attract readers' attention.
Use neutral language to describe the condition and its effects, such as 'Kim Kardashian shares an update on her psoriasis condition.'
Language that is partial or shows a lack of neutrality.
Terms like 'brunette beauty', 'proud business owner', and 'makeup maven' suggest a positive bias towards Kim Kardashian.
Describe Kim Kardashian's professional roles without adjectives that imply a value judgment, such as 'business owner' and 'makeup entrepreneur.'
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article's description of Kim Kardashian's health struggles, such as 'not gonna lie this is painful' and 'psoriasis sucks,' may be designed to elicit sympathy from the reader.
Maintain a factual tone when discussing health issues, such as 'Kim Kardashian describes her experience with psoriasis as challenging.'
- 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.