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.
The article contains biased language that favors Michael Jordan.
The article uses phrases like 'greatly respected the Chicago Bulls legend' and 'the Bulls royalty's 'Last Dance' to portray Michael Jordan in a positive light.
Use neutral language to describe both Michael Jordan and Isiah Thomas.
The article omits key information about the beef between Michael Jordan and Isiah Thomas.
The article fails to mention specific incidents that led to the beef between the two players, such as the 'Bad Boys' Pistons' physicality and the 'Jordan Rules' defense.
Include relevant information about the incidents that contributed to the beef between Michael Jordan and Isiah Thomas.
The article provides unbalanced reporting by favoring Michael Jordan's perspective.
The article focuses more on Isiah Thomas' respect for Michael Jordan and his disappointment with Jordan's lack of acknowledgment, while not providing enough space for Thomas' side of the story.
Provide a more balanced representation of both Michael Jordan and Isiah Thomas' perspectives.
- 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.