Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Real Madrid
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 hyperbolic language to create excitement
The title suggests a sense of desperation from Florentino Perez which may not be accurately reflective of the situation.
Use a more neutral tone in the title, such as 'Real Madrid president Florentino Perez shows interest in signing Man United star'
Headline that does not accurately reflect the content of the article
The headline implies a strong intent and a specific tactic by Florentino Perez, which is not substantiated in the article.
Ensure the headline accurately reflects the content of the article and does not imply certainty where there is none
Claims made without evidence or source confirmation
The article states that 'Erik ten Hag WON'T survive at Man United beyond the end of the season even if he lifts the FA Cup' without providing evidence or sources.
Provide evidence or quote sources when making definitive claims about individuals' futures
- 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.