Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Sylvester Stallone
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 evoke strong emotions in the reader.
The article describes Sylvester Stallone's relationship with his late son as 'devastating' and mentions the 'agonizing loss' of Sage's death.
Use neutral language to describe the relationship and the loss.
The article fails to provide important details or context that could give a more complete understanding of the situation.
The article mentions that Sage died from atherosclerosis, but does not provide any information about the circumstances surrounding his death or any other relevant details.
Include more information about the circumstances of Sage's death and any other relevant details.
The article uses emotional language and quotes to manipulate the reader's feelings.
The article includes quotes from Sylvester Stallone about the devastating impact of putting work before family and the pain of losing a child.
Use more neutral language and focus on providing factual information.
- 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.