Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Big Hit
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 uses phrases like 'heartwarming video,' 'epic pranks,' and 'most epic pranks of 2023' to create a sense of excitement and intrigue.
Use more neutral language to describe events and avoid exaggeration.
The article uses language that favors one side or presents a subjective viewpoint.
The article uses phrases like 'prime examples,' 'dope-a** rapper,' and 'sweet memory' which show a positive bias towards Big Hit and his father.
Use neutral language to present information without favoring any side.
The article leaves out important details that could provide a more balanced perspective.
The article mentions Snoop Dogg's prank about quitting weed but fails to provide any information about the smokeless grill company he's collaborating with, which is a key detail to understand the context.
Include relevant information to provide a more complete 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.