Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Doria Ragland
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 positive language to describe one side of the story
Phrases like 'proud mother', 'great spirits', 'loved-up Harry and Meghan', 'incredibly close bond', and 'dignified pillar of strength' contribute to a positive portrayal of Doria Ragland and her relationship with Meghan and Harry.
Use neutral language to describe the individuals and their relationships.
Provide a balanced view by including a wider range of perspectives, if available.
Leaving out information that could provide a more balanced view
The article does not provide any perspectives from the royal family or mention any potential criticisms or controversies, which could lead to a one-sided portrayal.
Include any relevant statements or perspectives from the royal family to balance the narrative.
Mention any public controversies or criticisms to provide a fuller picture of the situation.
- 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.