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.
The article uses a sensational headline to attract readers' attention.
The title 'Save 20% on Taylor Swift's favourite Tom Ford fragrance in an early Black Friday deal' is sensationalized to grab attention.
Change the title to 'Tom Ford fragrances on sale for Black Friday'
The article selectively presents information about the sale of Tom Ford fragrances.
The article focuses on the discounted prices of the fragrances without providing a balanced view of their overall cost or value.
Provide more information about the regular prices of the fragrances and compare them to other similar products.
The article fails to mention important details about the sale and availability of the fragrances.
The article mentions that the 250ml bottle of Santal Blush has sold out online, but it doesn't provide information about the availability of other sizes or fragrances.
Include information about the availability of other sizes and fragrances in the sale.
- 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.