Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
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.
Exaggerating or sensationalizing aspects of the story to attract attention.
The article describes the battle between Álvaro Carreras and Lamine Yamal as 'arguably the battle which will draw the most attention of all,' which may exaggerate its importance compared to other matchups.
Provide a balanced view by stating that while the Carreras vs Yamal matchup is significant, other battles are equally important in determining the outcome of the game.
Using language that unfairly favors one side over another.
The article mentions Lamine Yamal's comments accusing Real Madrid of 'stealing' games, which could be seen as biased against Barcelona.
Include a neutral statement or context about Yamal's comments, such as mentioning any responses from Real Madrid or the context in which the comments were made.
- 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.