Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Patrick Mahomes
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 mistakes made by Patrick Mahomes.
Patrick Mahomes has held his hands up after making two big mistakes for the Kansas City Chiefs in their Sunday Night Football showdown with the New York Jets.
Instead of using sensational language, the article could simply state that Patrick Mahomes made two mistakes.
The article uses biased language to describe the mistakes made by Patrick Mahomes.
Mahomes in particular made two uncharacteristic errors, throwing two interceptions - one on a pass intended for Kelce - as they allowed the Jets back into the game.
Instead of using biased language, the article could state that Patrick Mahomes made two interceptions.
The article fails to mention the final score of the game and the performance of the New York Jets.
Eventually, Mahomes worked his magic in the fourth quarter to ensure they escaped with a 23-20 win.
The article should include the final score of the game and provide more information about the performance of the New York Jets.
- 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.