Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Michelle Obama
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.
Using language that is overly positive without presenting a balanced view.
The article uses phrases like 'beloved former First Lady', 'outstanding contributions', and 'working hard to leave an ethereal mark on the world', which are indicative of a positive bias.
Include a more balanced view by acknowledging any criticisms or challenges faced by Michelle Obama.
Use neutral language that does not imply subjective judgment.
Leaving out information that could provide a more balanced or complete picture.
The article does not mention any criticisms or challenges faced by Michelle Obama, which could provide a more rounded portrayal of her public life.
Mention any relevant criticisms or challenges to provide a balanced perspective.
Presenting one side of a story without coverage of opposing views or perspectives.
The article focuses solely on the positive aspects of Michelle Obama's life and work without presenting any alternative viewpoints or potential criticisms.
Include alternative viewpoints or perspectives to ensure balanced reporting.
- 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.