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 sensational language to create a dramatic effect.
Robert De Niro shouts ‘Shame on you’ at former assistant during court case
Change the headline to a more neutral tone, such as 'Robert De Niro addresses former assistant during court case'
The article uses biased language that favors one side over the other.
Mr De Niro’s anger built as lawyer Andrew Macurdy pelted him with some tabloid-style accusations his client made about De Niro’s behaviour towards Ms Robinson
Use neutral language to describe the accusations made by the lawyer.
The article provides more information and quotes from Robert De Niro's perspective, resulting in unbalanced reporting.
Mr De Niro answered. “You got us all here for this?” Mr Macurdy told Mr De Niro he called Ms Robinson “b**** to her face”. “I was never abusive, ever,” the actor snapped back
Include more quotes and information from Graham Chase Robinson's perspective to provide a balanced view of the situation.
- 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.