Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Leonardo DiCaprio
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 create a dramatic effect.
Leonardo DiCaprio’s 'endless' ad-libs left Martin Scorsese and Robert De Niro 'rolling their eyes'
Change the headline to a more neutral tone.
The article uses biased language to favor one side over the other.
DiCaprio is renowned for improvising his lines in films, but while filming the period piece, the actor apparently tested the patience of his co-star and director.
Use neutral language to describe the situation.
The article relies on the authority of Martin Scorsese and Robert De Niro to support its claims.
Scorsese’s 26th film is based on the true story of the murder of more than 60 Native Americans in 1920s Oklahoma and stars De Niro and DiCaprio as an uncle and nephew plotting to steal the oil underneath the tribe’s land.
Provide additional sources or evidence to support the claims.
- 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.