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!
Patrick Mahomes
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.
Using language that is overly positive or negative without supporting evidence.
The article describes Mahomes' move as 'a nice one' and refers to him as 'the best player in the National Football League' without providing evidence or context for these claims.
Provide evidence or context for why Mahomes is considered 'the best player in the National Football League'.
Avoid subjective language like 'a nice one' and instead focus on the factual aspects of the announcement.
Making claims without providing evidence or support.
The article claims that Mahomes is 'using his major platform to give back to the community and the next generation of football players' without providing specific examples or evidence of this impact.
Include specific examples or evidence of how Mahomes' actions have positively impacted the community and aspiring football players.
- 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.