Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Pete Davidson
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 Pete Davidson's dig at Kanye West, emphasizing the drama and conflict.
The article describes Pete Davidson's dig at Kanye West as 'savage' and highlights the intense media coverage of their brief relationship.
Use neutral language to describe the event without emphasizing drama or conflict.
The article uses biased language to portray Pete Davidson in a positive light and Kanye West in a negative light.
The article describes Pete Davidson's dig as 'hilarious' and 'funny', while referring to Kanye West as a 'rapper' and using negative terms like 'b***hole eyes'.
Use neutral language to describe both Pete Davidson and Kanye West without favoring one over the other.
The article includes ad hominem attacks by Pete Davidson towards Kanye West, mocking his appearance and mental health.
Pete Davidson sings, 'I’m just Pete, looking like a meth head on the street' and makes fun of his 'b***hole eyes'.
Avoid personal attacks and focus on the content of the skit rather than mocking someone's appearance or mental health.
- 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.