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 describe Selena Gomez's reaction and Lionel Messi's performance.
Selena Gomez's 'jaw dropping' reaction to Messi's amazing performance for his team, went viral on social media.
Use neutral language to describe Selena Gomez's reaction and Lionel Messi's performance.
The article uses biased language to describe Lionel Messi's performance as 'incredible' and 'amazing'.
Superstar footballer Lionel Messi delivered an incredible performance for Inter Miami in the match.
Use neutral language to describe Lionel Messi's performance.
The article mentions notable celebrities who attended the match, including Selena Gomez, Prince Harry, Owen Wilson, Leonardo DiCaprio, and Will Ferrell.
Besides Gomez, other notable celebrities who attended the match were Prince Harry, Hollywood stars Owen Wilson and Leonardo DiCaprio, and comedian Will Ferrell.
Remove the mention of celebrities attending the match as it is not directly relevant to the topic.
- 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.