Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Jelly Roll
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 emotionally charged language and personal anecdotes to provoke interest.
The phrases 'cry for days' and 'caskets I've carried' are emotionally charged and may distract from a more objective discussion of the fentanyl crisis.
Provide a more balanced report by including statistics and expert opinions alongside personal anecdotes.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
Jelly Roll's testimony is heavily focused on his personal emotional experiences, which may sway readers without providing a comprehensive view of the issue.
Include a broader range of testimonies and data to provide a more objective view of the fentanyl crisis.
Using personal experiences or an isolated example instead of a sound argument or compelling evidence.
The article focuses on Jelly Roll's personal experiences and past, which may not be representative of the overall situation.
Balance the personal story with data and research to provide a more accurate picture of the crisis.
- 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.