Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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General audiences
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 emphasize the success of the movie on Amazon Prime Video.
The sensational debut of Eddie Murphy's first-ever Christmas movie, Candy Cane Lane, is a true demonstration of how joyful, family-oriented stories can touch the hearts of viewers around the world.
Remove the word 'sensational' and use a more neutral tone to describe the debut of the movie.
The article uses biased language to favor the positive reception of the movie.
The bigwigs at the entertainment conglomerate are over the moon about the accomplishments.
Use neutral language to describe the reaction of the entertainment conglomerate.
The article selectively presents positive data about the movie's viewership and success.
The company also released additional info, mentioning that the fantastical romp had the highest reported viewership among PVOD & SVOD titles during the weekend ending with December 3.
Provide a more balanced view by including data about the movie's viewership compared to other titles.
- 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.