Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Zac Efron & Jeremy Allen White
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 and interest.
The article uses phrases like 'not-so-family-friendly story,' 'turbulent industry,' 'caught the wrestling bug,' and 'thousands of raging fans' to create a sense of excitement and drama.
Use more neutral language to describe the subject matter and events.
The article selectively focuses on certain wrestlers and their involvement in the movie, leaving out others.
The article mentions AEW champion Maxwell Jacob Friedman, WWE legend Chavo Guerro Jr., and 'plenty more' wrestlers, but does not provide a comprehensive list of all the wrestlers involved in the movie.
Include a more comprehensive list of all the wrestlers involved in the movie.
The article leaves out important details about the movie and the actors' involvement.
The article does not provide information about the release date of the movie, the roles played by Zac Efron and Jeremy Allen White, or any other specific details about the movie.
Include more specific details about the movie, such as the release date and the roles played by the actors.
- 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.