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.
Sensationalism
Presenting information in a way that is intended to provoke excitement, shock, or interest.
The article uses sensationalism in the title by stating that the new Kevin Costner movie Horizon has received a big update, creating anticipation and excitement.
Suggested Changes
Change the title to accurately reflect the content of the article.
Misleading headlines
Using a headline that does not accurately represent the content of the article.
The headline suggests that the movie Horizon has received a big update, but the article only mentions the change in rating guidance.
Use a headline that accurately reflects the content of the article.
Omission of key information
Leaving out important details that could change the interpretation of the information presented.
The article mentions that Horizon has received an R-rating, but does not provide any information about the previous rating or the reason for the change.
Include information about the previous rating and the reason for the change.
- 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.