Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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 uses sensational language to create excitement or drama.
Fresh off the back of his eighth Ballon d'Or triumph in Paris, the Argentina winning hero could be reunited with former team-mate Luis Suarez as well as two other familiar faces.
Use neutral language to describe the events.
The article selectively presents data or information to support a particular narrative.
Veteran forward Suarez is said to have already agreed a deal to join before the 2024 season to follow in the footsteps of Messi as well as Sergio Busquets and Jordi Alba - and potentially two others.
Provide a more comprehensive overview of the situation.
The article uses language that shows a preference or bias towards a particular side.
Miami president and co-owner Beckham will of course try his very best to keep Messi happy after he fired them to Leagues Cup glory weeks after his arrival.
Use neutral language to describe the actions of the individuals involved.
- 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.