Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Michael Jordan
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.
Using language that subtly favors one side over another
The article uses phrases like 'graciousness of Michael Jordan' and 'captured the essence of sportsmanship' which favor Michael Jordan, while the Pistons are described with terms like 'unprofessionalism'.
Provide a more balanced view by including positive aspects of the Pistons' conduct or explaining their perspective on the event.
Leaving out important details that could provide a more complete picture
The article does not provide sufficient context or the Pistons' perspective on why they chose not to shake hands, which could be key to understanding the event.
Include information on the Pistons' reasoning or any statements they may have made about the incident.
Presenting one side of a story more favorably than the other
The article focuses on Michael Jordan's positive attributes and sportsmanship, while not providing equal coverage of the Pistons' side of the story.
Balance the reporting by including more information about the Pistons and their perspective.
- 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.