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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Qantas
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.
Using exciting or shocking language to attract attention.
The use of terms like 'mammoth' and 'first ever' in the headline and throughout the article adds a sensational tone.
Use more neutral language such as 'large' or 'significant' instead of 'mammoth'.
Remove 'first ever' unless it is a verified fact and adds necessary context.
Language that shows a preference for one side over another.
The article focuses more on Qantas' sale, providing detailed information and quotes from the CEO, while Virgin Australia's sale is mentioned briefly.
Provide more balanced coverage by including similar details about Virgin Australia's sale.
Include quotes or statements from Virgin Australia's representatives to balance the perspectives.
- 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.