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 details that could provide a fuller understanding of the situation.
The article mentions a 'war of words' between Maria Steen and Senator Michael McDowell but does not provide any details about the nature of the disagreement or the context of the 'failed presidential bid.'
Include specific quotes or details about the disagreement between Maria Steen and Senator Michael McDowell.
Provide context about Maria Steen's presidential campaign and why it is considered 'failed.'
Giving unequal attention or emphasis to different sides of a story.
The article lists various stories but does not provide equal detail or context for each, such as the comments from Taoiseach Micheál Martin at the UN or the significance of the Ryder Cup appearance by Donald Trump.
Provide more context or details for each story mentioned to ensure balanced reporting.
Include quotes or specific points from Taoiseach Micheál Martin's UN address.
- 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.