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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Maritime Workers Union
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.
Statements made without sufficient evidence or support.
The article states, 'No fewer than ten passengers were abducted when suspected pirates attacked a passenger boat,' but does not provide evidence or sources for the exact number of abducted passengers.
Provide a source or evidence for the number of abducted passengers.
Use more cautious language such as 'approximately ten passengers' if the exact number is not confirmed.
Using emotionally charged language to elicit an emotional response from the audience.
The phrase 'the others are still afloat in the River waiting for rescue' is designed to evoke an emotional response.
Rephrase to a more neutral statement such as 'the remaining passengers are awaiting rescue.'
- 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.