Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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 songs, such as 'walloping indie-rock anthem' and 'sensual ballad about a mystery girl'.
Use more neutral language to describe the songs.
Using language that favors one side or perspective over another
The article refers to Lily-Rose Depp's song as a 'diabolical brilliance' and criticizes HBO's 'The Idol' for not recognizing its greatness.
Use more neutral language when describing the songs and avoid personal opinions.
Presenting information in a way that favors one side or perspective over another
The article focuses more on Boygenius and Peso Pluma, giving them detailed descriptions and positive reviews, while other songs are mentioned briefly or not at all.
Provide more equal coverage and reviews for all the songs mentioned in the article.
- 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.