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.
Biased language
The article uses biased language to favor xQc's perspective.
xQc hits back at Squid Game: The Challenge critics Hitting back, streaming star has slammed those criticizing the streaming service.
Suggested Changes
Use neutral language to present both sides of the argument.
Cherry-picking data
The article selectively presents xQc's perspective without providing counterarguments.
While xQc’s fans called the streamer “out of touch” for the comment, the 28-year-old has stuck to his guns, explaining contestants can’t expect millions just for showing up and competing.
Include counterarguments or different perspectives to provide a balanced view.
Unbalanced reporting
The article presents xQc's perspective more favorably compared to Netflix's perspective.
xQc hits back at Squid Game: The Challenge critics Hitting back, streaming star has slammed those criticizing the streaming service.
Provide equal representation of both sides' arguments.
- 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.