Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Nicki Minaj
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 sensational language to describe the long-awaited Kanye West song 'New Body' featuring Nicki Minaj and Ty Dolla $ign.
Use neutral language to describe the song and its preview.
Using language that favors one side or perspective over another.
The article includes biased language when describing the hook of the song, which praises women seeking enhancements and plastic surgery.
Use neutral language to describe the hook of the song.
Leaving out important details or facts that could provide a more complete understanding of the topic.
The article fails to mention the date of the Vultures listening party in Miami or provide any additional context about the event.
Include the date of the listening party and provide more context about the event.
- 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.