HonestyMeter - AI powered bias detection
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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.
Sensationalism
Use of dramatic language to provoke interest at the expense of accuracy.
The title 'How 'terrified' Kim Kardashian reacted to Tom Brady's brutal joke about Kanye West's parenting' uses sensational language to attract readers.
Suggested Changes
Use a more neutral title such as 'Kim Kardashian's response to Tom Brady's joke regarding Kanye West's parenting at Netflix event'
Biased Language
Language that is partial or prejudiced towards particular views or outcomes.
The use of terms like 'brutal joke' and 'terrified' suggests a bias towards dramatizing the events and portraying Kim Kardashian in a sympathetic light.
Replace 'brutal joke' with 'joke' and 'terrified' with 'apprehensive' to maintain a neutral tone
Appeal to Emotion
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The article describes Kim Kardashian crying during an interview, which may be an attempt to elicit sympathy from the reader without providing a balanced view of the situation.
Provide context for the emotional response and ensure that Kanye West's perspective is also represented fairly
- 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.