Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Kanye West
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 use of exaggerated or shocking language to provoke strong emotions or interest.
The article uses sensational language by stating that Kanye West and Bianca Censori have been 'officially married' since December, which implies a shocking revelation.
Use neutral language to present the information without exaggeration.
Leaving out important details that may provide a more balanced or accurate understanding of the situation.
The article omits details about the source of the information and any evidence supporting the claim of Kanye West and Bianca Censori's marriage.
Include information about the source and evidence supporting the claim to provide a more complete picture.
The use of language that favors one side or perspective over others.
The article uses biased language by referring to Kim Kardashian as someone who 'lives almost full time in front of a camera', which implies a negative judgment.
Use neutral language when describing individuals to avoid bias.
- 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.