Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Vaccine Experts
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.
Phrases like 'long-time vaccine skeptic Kennedy' and 'sown doubt about the safety and efficacy of vaccines' suggest a negative bias towards Kennedy.
Use neutral language such as 'Kennedy, who has expressed concerns about vaccines' instead of 'long-time vaccine skeptic Kennedy'.
Avoid implying intent without evidence, such as 'sown doubt'.
Claims made without supporting evidence.
The article states that Kennedy's actions 'would undermine public confidence in health agencies' without providing evidence or data to support this claim.
Provide data or expert opinions to support claims about public confidence.
Include statements from Kennedy or his supporters to provide balance.
Leaving out important information that could provide a fuller understanding of the situation.
The article does not provide specific examples or evidence of the alleged conflicts of interest among ACIP members.
Include specific examples or evidence of conflicts of interest if available.
Provide more context on the process and criteria for appointing ACIP members.
- 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.