Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Cristiano Ronaldo and 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.
Use of sensational language to create excitement or interest.
The phrase 'Cristiano Ronaldo and Lionel Messi are nearing 40 and still scoring for fun' uses sensational language to emphasize their achievements.
Use a more neutral tone to describe their ongoing performance.
Language that is partial or shows a preference for one side over another.
The article uses phrases like 'GOAT debate', 'glory in Qatar', and 'the best in the world' which can be seen as biased towards Ronaldo and Messi.
Present achievements without using language that implies superiority.
Leaving out important details that could give a more complete picture.
The article does not provide information on how the goal counts are verified or the criteria for being recognized by FIFA, which is key to understanding the context of the records.
Include information on the verification process for the goal counts and FIFA's recognition criteria.
- 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.