Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Jennifer Aniston
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.
Presenting information in a way that is intended to provoke excitement, shock, or interest.
The article uses sensational language to describe Jennifer Aniston's planned get-together to celebrate Matthew Perry's life.
Use neutral language to describe the event.
Leaving out important details that may provide a more complete or balanced understanding of the topic.
The article does not provide information about the cause of Matthew Perry's death until the end of the article.
Include the cause of Matthew Perry's death earlier in the article to provide context.
Using language that favors one side or perspective over others.
The article refers to Matthew Perry as a 'beloved star,' which implies a positive bias towards him.
Use neutral language when referring to Matthew Perry.
- 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.