Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Nikola Jokic
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 contains sensational language to describe Victor Wembanyama's performance.
Wembanyama, whose pre-draft hype this summer was the loudest for any NBA prospect since LeBron James, was extraordinary in defeat: 22 points, 11 rebounds, six steals and four blocks.
Remove the sensational language and provide a more objective description of Wembanyama's performance.
The article contains biased language favoring Nikola Jokic.
“He is 19 years old. He is not getting scared of getting tired. He’s playing hard,” Nikola Jokic said. “… He doesn’t take it for granted. He’s making mistakes, which is normal. I think the media around him doesn’t help him, but he’s gonna get used to it. He’s gonna change the game, 100%. And he’s already on that path.”
Remove the biased language and provide a more neutral description of Jokic's comments.
- 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.