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
Use of sensational language to provoke interest at the expense of accuracy.
The article opens with 'The intense battle over Angelina Jolie and Brad Pitt's French vineyard is once again in the spotlight,' which may sensationalize the legal dispute.
Suggested Changes
Rephrase to a more neutral tone, such as 'The legal dispute over the ownership of Château Miraval continues between Angelina Jolie and Brad Pitt.'
Biased Language
Use of language that implies judgment or takes a side.
The use of phrases like 'frivolous lawsuit' and 'relentless attacks' suggests a bias against Brad Pitt.
Use neutral language to describe the lawsuit and the actions of both parties.
Omission of Key Information
Leaving out information that is crucial to understanding the full context.
The article does not provide sufficient background on the legal basis for the claims and dismissals, which is key to understanding the legal proceedings.
Include more detailed information about the legal arguments and basis for the court's decisions.
- 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.