Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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MCU
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 uses sensational language to evoke strong emotions from the readers.
Fans across the globe are uniting to mourn the loss of their beloved billionaire superhero.
Use neutral language to describe the reaction of fans.
The article uses biased language to favor one side over the other.
One displeased MCU fan expressed a common thought about how the death of Iron Man led to the degradation of the MCU.
Use neutral language to present different opinions.
The article presents one side of the story more prominently than the other.
Fans took to X, formerly Twitter, to share their thoughts, views and condolences about their beloved fictional hero’s death.
Include quotes or opinions from fans who have a different 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.