Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Victims and Tributes
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 dramatic language to provoke public interest.
The article describes the crash as 'the deadliest US air disaster since November 2001,' which, while factual, is presented in a way that emphasizes the drama of the event.
Focus on the facts of the incident without comparing it to past disasters.
Provide more context about air safety improvements since 2001 to balance the narrative.
Claims made without sufficient evidence.
President Donald Trump speculated that Democrats and diversity initiatives shared blame for the deaths without providing evidence.
Remove speculative statements unless they are supported by evidence.
Include responses or clarifications from relevant parties to provide balance.
- 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.