Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Auction/Art Market
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.
Emphasizing the extraordinary or record-breaking nature of an event to increase interest, even when it is factually correct.
The article highlights that the sale "ახალ ევროპულ რეკორდად იქცა" (became a new European record for the artist’s works). This is accurate and sourced (Art Net), but it is the only slightly promotional angle in an otherwise neutral piece.
Clarify the scope of the record to keep it strictly factual, e.g.: "ეს გარიგება ამედეო მოდილიანის ნამუშევრებისთვის ევროპულ აუქციონებზე დაფიქსირებულ უმაღლეს ფასად იქცა, Art Net-ის მონაცემებით."
Optionally add brief comparative context to avoid overemphasis, e.g.: "მსგავსი ფასები მოდილიანის ნამუშევრებისთვის სხვა რეგიონებშიც დაფიქსირებულა, თუმცა ევროპაში ეს ყველაზე მაღალია."
- 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.