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.
Exaggerating the impact or importance of something to attract attention.
The phrase 'If it does what it says it does, it should be really big' is an example of sensationalism, as it suggests a significant impact without providing evidence.
Provide specific examples or data to support the claim of significant impact.
Use more measured language to describe the potential impact of the rules.
Making claims without providing evidence or support.
The statement 'We have had 20 years with no attention being paid to safety' is an unsubstantiated claim, as it lacks evidence or context.
Provide historical context or data to support the claim about the lack of attention to safety.
Include quotes or references from experts or studies to substantiate the claim.
- 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.