Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Corrells
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.
Use of dramatic language to provoke interest.
The article uses phrases like 'The Dark Side of Kids TV' and 'Every Awful Thing Trump Has Promised to Do in a Second Term', which are designed to provoke a strong emotional response and may exaggerate the situation.
Use neutral language and avoid dramatic phrases that may exaggerate the situation.
Language that is partial or expresses a preference.
The article uses terms like 'horrible crime' and 'devastated' which indicate a strong negative stance towards the accused without providing a balanced view.
Provide a balanced view by including statements or perspectives from all parties involved.
Leaving out important details that could change the reader's perception.
The article does not provide information on the current status of the accused or the legal proceedings, which is important for understanding the full context of the apologies.
Include information on the current status of the accused and any ongoing legal proceedings.
- 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.