Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Cherry Jones
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 language that unfairly favors one side over another.
The article uses terms like 'defiantly' and 'tragedy' to describe Cherry Jones' statements, which can influence readers' perceptions.
Replace 'defiantly' with 'stated' to maintain neutrality.
Remove the term 'tragedy' or replace it with a more neutral term like 'situation'.
Using the opinion of an authority figure to support an argument.
The article mentions Cherry Jones' awards and George Clooney's op-ed to lend weight to their opinions.
Focus on the arguments themselves rather than the authority of the individuals making them.
Making claims without providing evidence.
The article states, 'This isn’t only my opinion; this is the opinion of every senator and Congress member and governor that I’ve spoken with in private,' without providing evidence.
Provide evidence or sources to support the claim, or remove the statement.
- 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.