Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Will Smith
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 the moment Jada Pinkett Smith received Tupac Shakur's ashes.
Jada Pinkett Smith spoke of the devastating moment that she was handed Tupac Shakur’s ashes in a ‘little cardboard box’.
Change the language to a more neutral tone.
The article fails to provide details about the drive-by shooting that led to Tupac Shakur's death.
The music legend died at the age of 25 on September 7, 1996, following a drive-by shooting in Las Vegas.
Include more information about the drive-by shooting and the circumstances surrounding Tupac Shakur's death.
The article uses biased language when describing Jada Pinkett Smith's relationship with Tupac Shakur.
The Scream 2 actress famously had a close friendship with the All Eyez On Me rapper before his death, and previously described him as her ‘soulmate’.
Use neutral language when describing their relationship.
- 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.