Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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School / Pupils / Driver
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 situation in a simplified way that may omit nuance or possible complications.
The sentence: "A school minibus has crashed through a hedge on a busy road but all passengers escaped unscathed, police have said." is concise and reassuring but does not clarify whether medical checks were done or if there might be delayed or minor injuries not immediately apparent. However, it is clearly attributed to police, which limits the issue.
Clarify the basis for the statement: "...but, according to police at the scene, all passengers appeared uninjured and no serious injuries were reported."
Add a note on medical assessment if known: "All passengers were assessed by paramedics and no injuries were reported."
If information is incomplete, acknowledge uncertainty: "...but initial reports from police indicated that all passengers appeared uninjured. Further medical assessments are ongoing."
- 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.