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
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 and interest.
Taylor Swift is considered the biggest star of the summer, due to her epic 3 1/2-hourlong Eras Tour show, which includes more than 146 dates across five continents.
Remove subjective language and focus on factual information about Taylor Swift's tour.
The article uses biased language to favor Taylor Swift.
Taylor Swift is HERE for the Chiefs game 👀
Use neutral language to describe Taylor Swift's presence at the Chiefs game.
The article relies on quotes from Patrick Mahomes and other sources to support the narrative.
"I knew she [Taylor Swift] was in the house…. so I knew I had to get the ball to Travis." - Patrick Mahomes, Kansas City Chiefs quarterback on Travis Kelce’s touchdown!
Provide a balanced perspective by including quotes from other players or fans.
- 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.