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.
Sensationalism
Use of sensational language to provoke interest at the expense of accuracy.
The article title 'Idris Elba Came out of ‘Beasts of No Nation’ Mentally Scarred Because of His Disgusting Character' uses sensational language that may exaggerate the emotional impact of the role on Idris Elba.
Suggested Changes
Use a more neutral title such as 'Idris Elba Reflects on the Challenging Role in ‘Beasts of No Nation’.
Appeal to emotion
Attempting to manipulate an emotional response in place of a valid or compelling argument.
Statements like 'I hate to see children suffering, I just hate it. And now that I have kids it’s even worse,' and 'I came out of the film mentally scared because of how disgusting my character was,' are emotionally charged and may influence the reader's feelings towards the subject.
Provide a more balanced view of the actor's experience without emphasizing only the emotional distress.
- 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.