Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
Bias report
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Objectivity Score
High
Eminem attends Rams vs. Lions game alongside Big Sean after asking Matthew Stafford for a huge favour.
Sides Objectivity Scores
Sides Representation Balance
Favored Side
None
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.
Detected Manipulations & Suggested Changes
Sensationalism
Use of sensational language to create an exciting or shocking narrative.
The language used to describe Eminem's request to Stafford ('Eminem pleads with ex-Lions quarterback Matthew Stafford') and the fan reactions ('Eminem having the time of his life at the lions vs rams game.') could be seen as slightly sensational, emphasizing the emotional aspect of the event.
Suggested Changes
Use more neutral language to describe Eminem's request and the fan reactions, such as 'Eminem asks Stafford for a favor' and 'Eminem enjoys himself at the Lions vs. Rams game.'
Spread the Truth
Share Report!
- 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.