Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Judicial System
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 sensational language or dramatic elements to attract attention.
The article uses dramatic language such as 'Mamta fought not just as a defendant, but as a teacher turning the courtroom into a chemistry lab' which sensationalizes the courtroom proceedings.
Use neutral language to describe the courtroom proceedings without dramatizing Mamta's actions.
The use of language that unfairly favors one side over another.
Phrases like 'the cold facts proved stronger than her lessons' imply a bias against Mamta's defense.
Present the facts of the case without implying judgment or bias against Mamta's defense.
Claims made without sufficient evidence to support them.
The article mentions 'Mamta suspecting her husband of infidelity' without providing evidence or context for this claim.
Provide evidence or context for claims about Mamta's suspicions or omit them if they cannot be substantiated.
- 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.