Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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New York Attorney General
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 use of biased language favors one side over the other.
In a post to Truth Social on Saturday morning, Trump shared his thoughts on the ruling by calling Engoron an 'incompetent' judge and a 'political hack.'
Use neutral language to describe the judge's ruling and avoid personal attacks.
Key information that could provide a more balanced perspective is missing.
However, the New York attorney general's office, wrote in a court filing on Thursday that the former president's daughter should testify, because although she's no longer a defendant and has left The Trump Organization, she 'remains financially and professionally intertwined' with the company and 'indisputably has personal knowledge of facts relevant to the claims against the remaining' defendants.
Include information from the court filing to provide a more balanced perspective on why the attorney general's office believes Ivanka Trump should testify.
- 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.