Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Prince William and Kate Middleton
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 create excitement or interest.
The article describes Kate Middleton's visit to the textile mill as 'out of this world' and emphasizes her elegance in emerald.
Use neutral language to describe the visit and avoid exaggeration.
The article uses language that favors one side over the others.
The article refers to Prince Harry as the 'estranged son' and mentions a 'feud' between him and his father.
Use neutral language when referring to Prince Harry and his relationship with his father.
The article leaves out important details that could provide a more balanced perspective.
The article mentions reports of King Charles III's snub to Prince Harry but does not provide any context or explanation for this.
Include more information about the reported snub and provide context for the ongoing feud between Prince Harry and his father.
- 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.