Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Parents
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 emotional language to elicit sympathy from the audience.
The article frequently uses emotional language, such as 'heartbreak', 'frustration', 'anxiety', and 'heartache', to describe Kellie Bright's experiences and the struggles of other parents.
Provide more factual information and statistics to support the claims about the challenges faced by parents.
Include perspectives from local authorities or government representatives to provide a more balanced view.
The article predominantly presents the perspective of parents without equally representing the views of local authorities or government officials.
While the article mentions a brief statement from Georgia Gould, it lacks a comprehensive view from the government or local authorities on the challenges and reforms.
Include more detailed responses from government or local authority representatives regarding the challenges and reforms in the Special Educational Needs system.
Provide data or studies that support or refute the claims made by parents about the system being 'broken'.
- 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.