Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Trump
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 language that unfairly favors one side over another.
The article uses terms like 'radicalized' and 'crazy' judges, which are subjective and carry a negative connotation.
Replace subjective terms with neutral descriptions, such as 'some judges' or 'certain judges'.
Use of shocking or exaggerated language to provoke public interest.
Statements like 'our Country, as we know it, is finished!' and 'Americans will have to get used to a very different, crime filled, LIFE' are sensational and lack evidence.
Provide evidence or statistics to support claims about crime rates and judicial decisions.
Avoid using hyperbolic language that is not supported by facts.
Claims made without evidence or support.
The claim that judges are not allowing the USA to deport criminals, including murderers, lacks specific examples or data.
Include specific cases or data to support claims about judicial decisions.
Provide balanced perspectives by including statements or data from the judicial system.
- 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.