Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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US Department of Homeland Security
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 reflects a particular bias or perspective.
Phrases like 'renewed focus on security and the integrity of the immigration system' and 'commonsense measure' suggest a positive bias towards the DHS's actions without presenting counterarguments or perspectives from those who might be negatively affected.
Include perspectives from immigrant advocacy groups or affected individuals to provide a more balanced view.
Avoid using subjective terms like 'commonsense measure' and instead describe the policy change in neutral terms.
Leaving out important information that could provide a fuller understanding of the issue.
The article does not include any statements or reactions from immigrant advocacy groups or individuals who might be affected by the policy change.
Include quotes or statements from immigrant advocacy groups or individuals affected by the policy change to provide a more comprehensive view.
- 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.