Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Environmental Concerns
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.
The use of exciting or shocking language at the expense of accuracy, in order to provoke public interest or excitement.
The headline 'Sewage alert at one of Wales' most famous beaches as thousands swim' is sensational as it emphasizes the sewage alert in a dramatic way, potentially causing unnecessary alarm.
Use a more balanced headline such as 'Sewage Alert Issued at Tenby Beach Amid Ironman Event'.
Leaving out important details that are necessary for a full understanding of the situation.
The article does not provide detailed information on the potential health risks of swimming in water affected by sewage discharge.
Include information on the health risks associated with sewage discharge and any advice from health authorities.
- 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.