Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Rihanna
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 describe SZA's frustration over Rihanna using her song on 'ANTI'.
SZA was not happy about it. The song had been recorded, ready to be included on SZA’s 2017 debut album ‘Ctrl’, but days before the music video was released, she heard that Rihanna’s team had entered negotiations for the song to be included on ‘ANTI’ instead.
Use neutral language to describe SZA's frustration.
The article includes biased language when describing SZA's feelings and thoughts.
“I cared so much. I was so, just, frustrated. And I felt like, ‘I’ll never make anything this cool again’, and that was so crazy and so wrong.”
Use neutral language to describe SZA's feelings and thoughts.
The article omits key information about the negotiation process between SZA and Rihanna's team.
The article does not provide any information about how the negotiation process between SZA and Rihanna's team took place.
Include more information about the negotiation process between SZA and Rihanna's team.
- 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.