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!
Taylor Swift fan
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 drama and emotional impact.
An irate argument broke out between a Taylor Swift fan and an Airbnb host...
Use neutral language to describe the argument.
The article uses biased language to favor the Taylor Swift fan's perspective.
Stewart added that if she did not accept the price adjustment, Heather urged her to cancel the reservation...
Use neutral language to describe the actions of both parties.
The article focuses more on the Taylor Swift fan's perspective and does not provide enough information from the Airbnb host's side.
Later, their conversation turned into a heated argument where the Airbnb host blamed the platform for setting the prices and automatically accepting Stewart's booking...
Include more information and quotes from the Airbnb host to provide a balanced perspective.
- 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.