Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Robert De Niro
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 biased language to favor one side over the other.
Robert De Niro is making it clear again that he won’t touch former President Donald Trump with a 10-foot pole.
Use neutral language to present the statement without favoring any side.
The article relies on the authority of Robert De Niro to support its claims.
De Niro, who has ripped the former president on a number of occasions, later broke down why he’d take President Joe Biden over Trump.
Provide additional evidence or perspectives to support the claims made by Robert De Niro.
The article presents one side more favorably than the other.
De Niro noted that lines from his speech were 'cut out' from the teleprompter at the time and the viral moment sparked a response from Trump, who called him 'unwatchable both in movies, and with the FOOLS that destroyed the Academy Awards.'
Include a response or perspective from Donald Trump to provide a more balanced view.
- 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.