Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Steph 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.
Use of superlatives and dramatic language to enhance the narrative.
The article uses phrases like 'too much Steph Curry' and 'too little Scottie Barnes,' which dramatizes the situation.
Use more neutral language to describe player contributions and the game's outcome.
Language that shows a preference for one side over another.
The article heavily praises Steph Curry, using phrases like 'game-changers' and 'inimitable skills,' while discussing Scottie Barnes in the context of his injury and the team's loss.
Provide a more balanced view of both players' contributions and skills.
Leaving out important details that could give a more complete picture.
The article does not provide information on how the Raptors attempted to compensate for Barnes's absence or how other players performed.
Include information on team strategies and other players' performances to balance the narrative.
- 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.