Media Manipulation and Bias Detection
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Bias report
HonestyMeter - AI powered bias detection
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Objectivity Score
High
Cardi B Denies Getting Paid For Supporting Kamala Harris: 'I Came For Glam And Travel'.
Sides Objectivity Scores
Sides Representation Balance
Favored Side
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.
Detected Manipulations & Suggested Changes
Sensationalism
Exaggerating or sensationalizing events to attract attention.
The article describes Cardi B's response as 'quick and fierce' and 'in her signature style,' which adds a sensational tone to the narrative.
Suggested Changes
Use neutral language to describe Cardi B's response, such as 'Cardi B responded promptly and denied the claims.'
Biased language
Using language that unfairly favors one side over another.
Phrases like 'veiled dig at Owens in her signature style' imply a bias towards Cardi B's perspective.
Remove subjective descriptions and focus on the factual content of Cardi B's response.
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- 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.