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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Daniel Radcliffe
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.
The article contains instances of biased language that may influence the reader's perception.
The article uses phrases like 'extraordinary,' 'amazing job,' and 'empowering and positive' to describe David Holmes and the documentary. These phrases convey a positive bias towards the subject.
Use neutral language to describe the subject and the documentary.
The article includes statements that appeal to the reader's emotions.
Statements like 'I wanted to make something about Dave for years because he's extraordinary and I wanted to share that with the world' and 'I know that it was made with love and sensitivity' appeal to the reader's emotions and may influence their perception of the documentary.
Avoid using emotional language and focus on presenting factual information.
- 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.