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.
Exaggerating or sensationalizing aspects of a story to attract attention.
The phrase 'internal pressure from Draymond Green, Steph Curry and Jimmy Butler' suggests a dramatic situation without providing detailed evidence of the pressure.
Provide specific examples or quotes from the players to substantiate the claim of internal pressure.
Clarify the nature and extent of the 'pressure' to avoid exaggeration.
Using the opinion of an authority figure or celebrity to support an argument.
The article mentions that Stephen Curry, Draymond Green, and Jimmy Butler are advocating for Kuminga's contract, which may unduly influence readers by leveraging their authority.
Include more context or reasoning behind the players' advocacy to provide a more balanced view.
Present additional perspectives from other team members or analysts to balance the authority figures' opinions.
- 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.