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.
The article uses sensational language to describe the tragic loss of Matthew Perry.
After her Friends costar tragically passed away earlier this month
Use neutral language to describe the passing of Matthew Perry.
The article fails to mention the cause of Matthew Perry's death.
After her Friends costar tragically passed away earlier this month
Include the cause of Matthew Perry's death for a more complete and objective report.
The article selectively focuses on Jennifer Aniston's support of Matthew Perry's charity without mentioning the support of other Friends costars.
Jennifer joined with her other Friends costars Courteney Cox, Lisa Kudrow, Matt LeBlanc, and David Schwimmer to release a joint statement reacting to the horrible loss of their friend.
Include information about the support of other Friends costars to provide a balanced perspective.
- 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.