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!
Steve Wainwright
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 aspects of the story to attract attention.
Phrases like 'huge versions of everyday household items' and 'stunning table-sized tape measure' are slightly sensationalized.
Replace 'huge versions of everyday household items' with 'larger versions of everyday household items'.
Replace 'stunning table-sized tape measure' with 'table-sized tape measure'.
Using emotional responses to influence the reader.
The quote 'The mums and dads bringing their kids to school are looking and going: ‘Oh my god what’s going on?’' is designed to evoke an emotional reaction.
Replace the quote with a more neutral description, such as 'Passers-by, including parents taking their children to school, often stop to look at his creations with curiosity.'
- 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.