Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Riley Gaines
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 or sensationalizing events to attract attention.
The article uses phrases like 'sensationally turned on' and 'toughest attacks yet' which dramatize the situation.
Use more neutral language such as 'criticized' instead of 'sensationally turned on'.
Avoid using superlatives like 'toughest attacks yet' without providing specific evidence.
Using language that unfairly favors one side over another.
The article refers to Trump's actions as 'hypocrisy' and 'U-turning', which implies a negative judgment.
Use neutral terms like 'change of stance' instead of 'U-turning'.
Avoid using judgmental terms like 'hypocrisy' without providing balanced context.
Making claims without providing evidence or support.
The article mentions 'major revelations about Epstein and his alleged clientele' without providing evidence or details.
Provide specific evidence or sources to support claims about 'major revelations'.
Clarify the basis of claims or indicate if they are speculative.
- 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.