Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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 one side over the other.
The article uses phrases such as 'violated the NFL's policy' and 'screamed at officials' which can create a negative perception of Andy Reid and Patrick Mahomes.
Use neutral language to describe the actions of Andy Reid and Patrick Mahomes.
The article uses sensational language to make the situation seem more dramatic than it may be.
The article uses phrases such as 'criticizing officials' and 'elementary school' to create a sense of controversy and drama.
Use neutral language to describe the actions of Andy Reid and Patrick Mahomes.
The article fails to provide important context or details that could provide a more balanced perspective.
The article does not mention any specific comments made by Andy Reid or Patrick Mahomes, making it difficult to fully understand the nature of their criticism.
Include specific quotes or statements made by Andy Reid and Patrick Mahomes to provide more context.
- 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.