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!
Elon Musk
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.
The article uses sensational language to create excitement or drama.
SpaceX’s Starship, probably the most highly effective rocket ever constructed...
Use neutral language to describe the rocket without exaggeration.
The article uses language that favors one side over the others.
The FAA predicted in September that Starship should have the ability to fly again in mid-October...
Use neutral language to present the FAA's prediction without favoring any side.
The article leaves out important details that could provide a more complete picture.
The FAA, in an effort to maintain pace with industry demand, said in a statement that it is working 'diligently to attract, hire and retain additional staff.'
Include information about the specific challenges the FAA is facing and why additional staff is needed.
- 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.