Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Tom Brady
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 painting and Brady's reaction.
Tom Brady is left stunned by MASSIVE painting of his NFL career highlights
Change the headline to a more neutral tone, such as 'Tom Brady receives a painting of his NFL career highlights'
Avoid using exaggerated adjectives like 'MASSIVE' to describe the painting
The article includes biased language that favors Tom Brady.
Brady was gifted with a huge painting at a business conference
Use neutral language to describe the painting, such as 'Brady received a painting' instead of 'Brady was gifted with a huge painting'
The article fails to provide information about the artist, Brent Hale, and the specific moments included in the painting.
The painting included moments from his Super Bowl wins, his Michigan days and the 46-year-old and his family.
Include information about the artist, Brent Hale, and his previous works
Provide more details about the specific moments included in the painting
- 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.