Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Criticizers
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.
Use of dramatic language to provoke interest at the expense of accuracy.
The article uses dramatic phrases such as 'on thin ice' and 'it's kind of crazy, right?' which may exaggerate the situation for effect.
Use more neutral language to describe the situation without sensationalizing the opinions of the individuals quoted.
The article presents one side of an argument more heavily than the other.
The article heavily features the opinions of players and officials who are critical of the Coyotes' arena situation, without providing a response or perspective from the Coyotes' organization.
Include a statement or perspective from the Arizona Coyotes to provide balance to the criticisms.
Leaving out important details that could change the reader's perception.
The article does not mention any efforts by the Coyotes to address the concerns or any potential benefits of the current arena situation.
Mention any known efforts by the Coyotes to improve the situation or the reasons behind the use of the current arena.
- 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.