Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Larsa Pippen
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 controversy.
Larsa Pippen hits back at Cardi B after she was slammed by the singer for revealing she had sex FOUR times a day with ex-husband Scottie Pippen
Use neutral language to describe the situation without exaggeration.
The article uses biased language to favor one side over the other.
Cardi criticised Larsa when she revealed intimate details about her sex life and branded it 'not a flex', bluntly adding: 'You need to go stitch your p**** up. Your man is sick'.
Use neutral language to present both sides' perspectives without favoring one over the other.
The article provides more coverage and quotes from Larsa Pippen, creating an imbalance in the representation of both sides.
Larsa Pippen has hit back at Cardi B after she was slammed by the singer for revealing she used to have sex four times a night with ex-husband Scottie Pippen.
Include more quotes and perspectives from Cardi B to provide a balanced representation of both sides.
- 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.