Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Ronaldo
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 contains biased language favoring Cristiano Ronaldo over Lionel Messi.
Endrick has admitted that he prefers Real Madrid and Portugal legend Ronaldo to Messi.
Use neutral language when comparing the two players.
The article selectively focuses on Endrick's preference for Ronaldo without providing a balanced view of his opinion.
Endrick has admitted that he prefers Real Madrid and Portugal legend Ronaldo to Messi.
Include Endrick's reasons for preferring Ronaldo and provide a balanced view of his opinion.
The article does not provide an equal representation of both Ronaldo and Messi.
The article focuses more on Endrick's preference for Ronaldo and does not give equal attention to Messi.
Include more information about Messi and his achievements to provide a balanced representation.
- 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.