Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Stephen Curry
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 an exaggerated or dramatic manner to provoke strong emotions or reactions.
The article uses sensational language to describe Curry's game-winning shot, referring to it as 'pandemonium' and an 'overtime THRILLER.'
Use neutral language to describe the game-winning shot.
Using language that favors one side or opinion over another.
The article presents Shaq's opinion as a significant factor in the GOAT debate without providing a balanced perspective from other experts or players.
Include perspectives from other experts or players to provide a balanced view of the GOAT debate.
Failing to present multiple perspectives or sides of an issue.
The article lacks a comprehensive analysis of the GOAT debate and only focuses on Shaq's opinion and Curry's performance.
Include perspectives from other experts or players to provide a more comprehensive analysis of the GOAT debate.
- 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.