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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Digital Health Advocates
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 aspects of a story to provoke public interest or excitement.
The article uses phrases like 'the difference between life and death' and 'harsh reality for millions' to emphasize the urgency and severity of the situation.
Use more measured language to describe the potential benefits of digital health without exaggerating the consequences.
Provide specific examples or data to support claims about the impact of digital health.
Using emotional appeals to persuade the audience rather than factual evidence.
The story of the mother in rural Taraba is used to evoke sympathy and highlight the need for telemedicine.
Balance emotional stories with factual data and statistics to provide a more comprehensive view.
Include testimonials or case studies from both successful and unsuccessful implementations of digital health.
Making claims without providing evidence or support.
Statements like 'AI-powered tools can analyze blood samples faster than human doctors' are made without citing specific studies or data.
Provide references or data to support claims about the capabilities of AI in healthcare.
Include expert opinions or research findings to substantiate claims.
- 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.