Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Prosecution
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.
Presenting information in a way that is intended to provoke excitement, shock, or interest.
The article uses sensationalism by referring to YNW Melly's case as a 'high-profile double murder trial' and emphasizing the length of time he has been in prison.
Present the information in a more neutral and factual manner without using exaggerated language.
Using language that favors one side or presents a subjective viewpoint.
The article refers to YNW Melly's arrest as 'unfortunately titled' and describes the potential use of his lyrics in court as a 'hot topic of debate.'
Use neutral language when describing events and avoid presenting subjective viewpoints.
Leaving out important details that could provide a more balanced or complete understanding of the topic.
The article does not provide any information about the defense's perspective or arguments in the case.
Include information about the defense's perspective to provide a more balanced view of the topic.
- 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.