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 sensational language to describe the players as 'generational talents' and 'freak athletes'.
Both players are considering generational talents and freak athletes and were taken first overall in the NBA and NHL drafts this year, to much fanfare from their teams.
Use more neutral language to describe the players' talents and achievements.
The article uses biased language to favor the players and their respective sports.
Bedard, roughly a foot and a half shorter than Wemby at 5-foot-10, has incredible speed and skills – enough to draw early comparisons to Connor McDavid.
Use more neutral language to describe the players' physical attributes and skills.
The article fails to provide information about the specific tips exchanged between the players and the outcome of their faceoff.
The pair would also faceoff, with Wembanyama getting the better of the Canadian – though we’re not sure how hard Bedard was trying.
Include specific details about the tips exchanged between the players and the outcome of their faceoff.
- 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.