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.
Presenting information in a way that is intended to provoke excitement, shock, or interest
The article uses sensational language to describe the crowd's reaction to Tie Domi's appearance on stage with Drake, such as 'thunderous cheers rained down from the crowd.'
Use neutral language to describe the crowd's reaction.
Using language that favors one side or perspective over another
The article refers to Tie Domi as a 'Maple Leafs legend' and Drake's 'hometown show,' which implies a positive bias towards both individuals.
Use neutral language to describe Tie Domi's career and Drake's concert.
Using the opinion or endorsement of an authority figure to support a claim
The article includes quotes from celebrity friends of Tie Domi and Drake, such as Mark Wahlberg and Tom Brady, to emphasize their support and admiration.
Provide a more balanced perspective by including opinions from individuals who may not be celebrities or authority figures.
- 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.