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.
Use of sensational language to provoke interest at the expense of accuracy.
The article uses sensational language when discussing 'concerns over President Biden's age and speculation on Michelle Obama potentially running for president.'
Avoid using charged language and present the speculation in a more neutral tone.
Reporting that disproportionately covers one viewpoint or aspect of a story.
The article focuses on the speculation of Michelle Obama running for president and concerns about President Biden's age without providing substantial evidence or balanced viewpoints on these issues.
Include more context or opinions from a variety of sources to provide a balanced view of the speculation and concerns mentioned.
- 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.