Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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.
Leaving out important context or details that could provide a fuller understanding of the situation.
The article mentions the government shutdown and its impact on air traffic controllers but does not delve into the reasons behind the shutdown or its broader implications.
Include background information on the government shutdown, such as its causes and the political context.
Discuss the potential long-term effects of the shutdown on the aviation industry and public safety.
Using language that subtly favors one side over another.
The phrase 'record-setting government shutdown' could imply a negative connotation without providing specific details or context.
Provide specific details about the duration and impact of the shutdown to support the 'record-setting' claim.
Use neutral language to describe the shutdown, such as 'ongoing government shutdown.'
- 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.