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.
Sensationalism
Use of sensational language or scenarios to provoke interest or excitement at the expense of accuracy.
The article title 'Wrexham player’s wife who was given months to live discovers wrong diagnosis after Ryan Reynolds steps in' may be seen as sensationalist, emphasizing the dramatic intervention of a celebrity.
Suggested Changes
Rephrase the title to focus on the medical aspect, such as 'Second medical opinion reveals misdiagnosis for Wrexham player’s wife'.
Omission of key information
Leaving out important details that could change the perception of the reported story.
The article does not provide details on the medical process that led to the misdiagnosis or the specifics of the second opinion, which are crucial for understanding the situation fully.
Include information about the medical criteria for the initial diagnosis and the process that led to the second opinion being sought.
- 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.