Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Idris Elba
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.
Presenting information in a way that is intended to provoke excitement, shock, or interest.
The article uses sensational language to describe Idris Elba's involvement in the game, such as 'fit perfectly in the 'Cyberpunk' context' and 'thrilled to have them.'
Use more neutral language to describe Idris Elba's involvement.
Using language that favors one side or perspective over another.
The article refers to Idris Elba as a 'DJ and rapper' and highlights his prominence in the soundtrack, which may create a biased perception of his role in the game.
Use more neutral language to describe Idris Elba's role in the game.
Leaving out important details that may provide a more balanced or accurate representation of the topic.
The article does not provide information about the other contributors to the game's soundtrack or the overall reception of the expansion.
Include information about other contributors to the game's soundtrack and the overall reception of the expansion.
- 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.