Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Streamers
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 biased language that favors streamers.
The established names fight to keep hold of their viewer base, as the newcomers fight for their share.
Replace biased language with neutral language.
The article omits information about the negative aspects of subathons and long streams.
The article only focuses on the positive aspects of subathons and long streams, such as breaking records and gaining popularity.
Include information about the potential negative effects of subathons and long streams, such as burnout and health risks.
- 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.