Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Defense
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 excitement or interest.
The article uses phrases like 'harassed her incessantly' and 'contentious moments in court' to create a sense of drama.
Use neutral language to describe the events.
The article uses language that favors one side over the other.
The article refers to YNW Melly's ex-girlfriend as 'the mother of YNW Melly’s ex-girlfriend' instead of using her name, which creates a negative impression.
Use the person's name instead of referring to them in a negative way.
The article leaves out important details that could provide a more balanced perspective.
The article does not provide any information about the evidence against YNW Melly and his friend, which could help readers understand the prosecution's case.
Include information about the evidence against YNW Melly and his friend to provide a more balanced perspective.
- 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.