HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
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.
Sensationalism
Use of shocking or exciting language at the expense of accuracy, in order to provoke public interest or excitement.
The article refers to Halle Bailey as 'Black Twitter's princess,' which is sensational and may not be an accurate representation of her status.
Suggested Changes
Use neutral language to describe Halle Bailey without sensationalizing her status.
Biased language
Language that is partial or prejudiced towards particular views or groups.
The article uses phrases like 'took a swing at Black Twitter's princess' and 'messed with the wrong crowd,' which implies a bias against Elijah Schaffer.
Use neutral language that does not imply a bias against any individual.
Omission of key information
Leaving out important facts or details that could change the perception of the story.
The article does not provide any information about Elijah Schaffer's perspective or any statements from him regarding the incidents mentioned.
Include Elijah Schaffer's response or perspective to provide a balanced view.
Unsubstantiated claims
Claims that are made without evidence to support them.
The article states that Schaffer 'realized he messed with the wrong crowd' after deleting his tweets, which is an unsubstantiated claim about his motives for deleting the tweets.
Avoid making assumptions about Schaffer's motives without evidence.
- 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.