Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Cardi B
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 the situation between Cardi B and Hazel E, which can exaggerate the conflict and create a biased narrative.
The article describes the situation as Cardi B 'calling out' Hazel E and uses phrases like 'fight' and 'throw words' to create a sense of drama.
Use neutral language to describe the situation between Cardi B and Hazel E.
The article uses biased language to favor Cardi B and portray Hazel E in a negative light.
The article refers to Hazel E using derogatory terms and quotes Cardi B calling her a 'pickle shaped body.'
Use neutral language to describe both Cardi B and Hazel E without favoring one over the other.
The article includes ad hominem attacks, where Cardi B insults Hazel E's appearance and implies negative things about her character.
Cardi B refers to Hazel E as a 'pickle shaped body' and claims to have power over other women.
Remove the ad hominem attacks and focus on the facts and statements made by both Cardi B and Hazel E.
- 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.