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!
Donald Trump
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.
Exaggerating or sensationalizing events to attract attention.
The article describes Trump's attendance as 'thrilling thousands of NASCAR fans' and 'making history' as the first sitting president to attend the Super Bowl, which may exaggerate the impact of his presence.
Use more neutral language to describe Trump's attendance, such as 'Trump attended the Daytona 500, marking his second visit as president.'
Avoid using phrases like 'thrilled thousands' unless supported by specific evidence or quotes from attendees.
Using language that unfairly favors one side over another.
The article uses phrases like 'pure American glory' and 'legendary display' which may reflect a bias towards portraying Trump in a positive light.
Provide a balanced view by including perspectives from those who may not view Trump's attendance as positively.
Use more neutral descriptors, such as 'Trump described the Daytona 500 as an important event in American motorsports.'
- 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.