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 includes biased language that expresses opinions and speculations.
Some social media users were put off by the celebration between the ladies at Sunday's game. Others found the gesture charming, amid initial speculation as to how they would get along after Swift's high-profile romance with Kelce went public.
Use neutral language to describe the reactions on social media.
Avoid speculations about their friendship and romance.
The article omits key information about the context of the handshake and the relationship between Taylor Swift and Brittany Mahomes.
The article does not provide information about the reason for the special handshake or the history of their friendship.
Include relevant information about the reason for the handshake and the history of their friendship.
- 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.