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 create excitement or interest.
One of the coolest things about the In-Season Tournament semifinals came...
Use neutral language to describe the event.
The article uses language that favors one side over the other.
Wilbon, bless him, was largely left unscathed...
Use neutral language to describe Wilbon's involvement.
The article relies on the authority of Stephen A. Smith to make a point.
“All I’m gonna do is remind y’all this: I got a two hour weekday show, five days a week,” Smith said.
Provide evidence or data to support the point instead of relying on Smith's authority.
- 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.