Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Mfantsipim School
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 events or details to create excitement or drama.
Phrases like 'commanding performance', 'filled with tension, skill, and suspense', and 'thunderous applause' are used to create a dramatic effect.
Use more neutral language to describe the performance, such as 'strong performance' instead of 'commanding performance'.
Avoid using phrases that imply excessive drama unless supported by specific examples.
Using language that unfairly favors one side over others.
The article frequently uses positive descriptors for Mfantsipim School, such as 'demonstrated class, composure, and teamwork', while providing less detailed descriptions of the other schools' performances.
Provide balanced descriptions of all schools' performances, highlighting strengths and weaknesses equally.
Include more specific examples of GSTS and Mankranso SHS's efforts and strategies.
- 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.