Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Lionel Messi
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 exaggerated language or claims to provoke strong emotional reactions.
The article uses sensationalism by describing Messi's compensation as 'unprecedented' and 'tremendous impact' to create a sense of awe and excitement.
Use neutral language to describe Messi's compensation and impact.
Leaving out important details that may provide a more balanced or accurate view of the topic.
The article mentions Messi's base salary and total guaranteed compensation but fails to provide specific details about his additional earnings from the MLS' Apple TV deal.
Include specific details about Messi's additional earnings from the MLS' Apple TV deal to provide a more complete picture.
The use of language that favors one side or perspective over others.
The article uses biased language by describing Messi's impact as 'tremendous' and implying that he is deserving of his compensation.
Use neutral language to describe Messi's impact and avoid implying his deservingness of his compensation.
- 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.