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!
Adelle Tracey / Winners and podium finishers
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.
Presenting a fact (such as a race time) that is likely incorrect or implausible, even if not clearly intentional, can mislead readers about performance.
The article states: "Sydney Pagon High school girl, Annastaseca Blackwood, was second with 4:46.53, and Jodian Walker was third with 6:12.41." In the context of a national-level women’s 1500m final where the winner ran 4:40.08 and second place ran 4:46.53, a third-place time of 6:12.41 is highly implausible and suggests a typographical or reporting error (e.g., wrong time, wrong event, or mis-typed digits). While this is likely an honest mistake rather than deliberate manipulation, it technically distorts the factual record of the race.
Verify the official results of the women’s 1500m from the JAAA national championships and correct the time for Jodian Walker if it is inaccurate.
If the time cannot be verified, either omit the specific time and state only the placement (e.g., "and Jodian Walker was third") or add a clarifying note that the time is unconfirmed.
Implement an editorial check for numerical plausibility in race reports (e.g., flagging times that are far outside the normal competitive range for the event and level).
- 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.