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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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 attract attention.
The article uses phrases like 'generational quickness' and 'dream come true' which could be seen as sensationalizing Pleasant's speed and experience.
Use more neutral language such as 'exceptional speed' instead of 'generational quickness'.
Describe Pleasant's experience as 'a significant opportunity' rather than 'a dream come true'.
Using language that unfairly favors one side over another.
The article implies Pleasant is the fastest without concrete evidence, using phrases like 'we know who’s the fastest'.
Include more data or evidence to support claims about Pleasant's speed.
Use conditional language such as 'Pleasant is considered one of the fastest' instead of definitive statements.
- 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.