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!
Bad Bunny
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.
Presenting information in a way that is intended to provoke excitement, shock, or interest
The article uses sensational language to describe the response of FlowGPT and Bad Bunny, such as 'scold his fans' and 's—ty song'.
Use neutral language to describe the actions and statements of FlowGPT and Bad Bunny.
Using language that favors one side or presents a subjective viewpoint
The article uses biased language when describing FlowGPT as a 'robot' and Bad Bunny as a 'singer'.
Use neutral language to describe FlowGPT and Bad Bunny.
Leaving out important details that may provide a more balanced or accurate representation of the situation
The article does not provide any information about the specific song or the reason why Bad Bunny scolded his fans.
Include more details about the song and the reason for Bad Bunny's reaction to provide a more complete picture.
- 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.