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.
The article uses sensational language to grab attention and create a dramatic effect.
When rapper goes to trial later this month on , prosecutors will be allowed to use rap lyrics as evidence against him, a judge ruled Thursday.
Use neutral language to describe the judge's ruling.
The article uses language that favors one side over the other.
Prosecutors say the rapper used his music and social media posts to promote the gang, which they say was behind a variety of violent crimes, including killings, shootings and carjackings.
Use neutral language to describe the allegations against the rapper.
The article fails to provide important details that could provide a more complete picture of the case.
After some defendants reached plea deals and others were separated to be tried later, opening statements are set to begin Nov. 27 in the trial of Young Thug and five others.
Include information about the plea deals and the charges against the other defendants to provide more context.
- 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.