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 use of dramatic language to enhance the story.
The title of the article uses the word 'dramatically' to describe the cancellation of the fight, which could be seen as an attempt to sensationalize the event.
Consider using a more neutral term such as 'after fight was cancelled' instead of 'dramatically cancelled'.
Using a misleading or sensationalized headline to entice readers to click on the article.
The headline may imply a more confrontational or dramatic call-out than what is actually presented in the article.
Rephrase the headline to more accurately reflect the content of the article, such as 'Liam Harrison expresses interest in rescheduling cancelled fight with Floyd Mayweather'.
- 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.