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!
LeBron James and veteran NBA stars
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 language or content designed to provoke public interest or excitement at the expense of accuracy.
The description of the NB-AI as an application that could turn an NBA game into a Marvel movie with voice command might be seen as sensational, exaggerating the current capabilities of the technology.
Provide a more measured description of the NB-AI's capabilities and potential applications.
A lack of balance in reporting, where one side of a story is favored over another.
The article heavily focuses on the achievements of LeBron James and other veteran NBA stars, with less emphasis on the technological innovations and their practical uses.
Include more information about the practical applications of the NBA's technological innovations to balance the reporting.
- 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.